id stringlengths 9 16 | title stringlengths 4 278 | categories listlengths 1 13 | abstract stringlengths 3 4.08k | filtered_category_membership dict |
|---|---|---|---|---|
cs/0108004 | Links tell us about lexical and semantic Web content | [
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] | The latest generation of Web search tools is beginning to exploit hypertext link information to improve ranking\cite{Brin98,Kleinberg98} and crawling\cite{Menczer00,Ben-Shaul99etal,Chakrabarti99} algorithms. The hidden assumption behind such approaches, a correlation between the graph structure of the Web and its conte... | {
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cs/0108005 | A Bit of Progress in Language Modeling | [
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] | In the past several years, a number of different language modeling improvements over simple trigram models have been found, including caching, higher-order n-grams, skipping, interpolated Kneser-Ney smoothing, and clustering. We present explorations of variations on, or of the limits of, each of these techniques, inclu... | {
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cs/0108006 | Classes for Fast Maximum Entropy Training | [
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] | Maximum entropy models are considered by many to be one of the most promising avenues of language modeling research. Unfortunately, long training times make maximum entropy research difficult. We present a novel speedup technique: we change the form of the model to use classes. Our speedup works by creating two maximum... | {
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cs/0108008 | Using Methods of Declarative Logic Programming for Intelligent
Information Agents | [
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] | The search for information on the web is faced with several problems, which arise on the one hand from the vast number of available sources, and on the other hand from their heterogeneity. A promising approach is the use of multi-agent systems of information agents, which cooperatively solve advanced information-retrie... | {
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cs/0108009 | Artificial Neurons with Arbitrarily Complex Internal Structures | [
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] | Artificial neurons with arbitrarily complex internal structure are introduced. The neurons can be described in terms of a set of internal variables, a set activation functions which describe the time evolution of these variables and a set of characteristic functions which control how the neurons interact with one anoth... | {
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cs/0108011 | On Classes of Functions for which No Free Lunch Results Hold | [
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"nlin.AO"
] | In a recent paper it was shown that No Free Lunch results hold for any subset F of the set of all possible functions from a finite set X to a finite set Y iff F is closed under permutation of X. In this article, we prove that the number of those subsets can be neglected compared to the overall number of possible subset... | {
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cs/0108013 | Convergent Approximate Solving of First-Order Constraints by Approximate
Quantifiers | [
"cs.LO",
"cs.AI"
] | Exactly solving first-order constraints (i.e., first-order formulas over a certain predefined structure) can be a very hard, or even undecidable problem. In continuous structures like the real numbers it is promising to compute approximate solutions instead of exact ones. However, the quantifiers of the first-order pre... | {
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cs/0108018 | Bipartite graph partitioning and data clustering | [
"cs.IR",
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] | Many data types arising from data mining applications can be modeled as bipartite graphs, examples include terms and documents in a text corpus, customers and purchasing items in market basket analysis and reviewers and movies in a movie recommender system. In this paper, we propose a new data clustering method based o... | {
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cs/0108022 | Portability of Syntactic Structure for Language Modeling | [
"cs.CL"
] | The paper presents a study on the portability of statistical syntactic knowledge in the framework of the structured language model (SLM). We investigate the impact of porting SLM statistics from the Wall Street Journal (WSJ) to the Air Travel Information System (ATIS) domain. We compare this approach to applying the Mi... | {
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cs/0108023 | Information Extraction Using the Structured Language Model | [
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] | The paper presents a data-driven approach to information extraction (viewed as template filling) using the structured language model (SLM) as a statistical parser. The task of template filling is cast as constrained parsing using the SLM. The model is automatically trained from a set of sentences annotated with frame/s... | {
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cs/0109006 | On Properties of Update Sequences Based on Causal Rejection | [
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] | We consider an approach to update nonmonotonic knowledge bases represented as extended logic programs under answer set semantics. New information is incorporated into the current knowledge base subject to a causal rejection principle enforcing that, in case of conflicts, more recent rules are preferred and older rules ... | {
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cs/0109010 | Anaphora and Discourse Structure | [
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] | We argue in this paper that many common adverbial phrases generally taken to signal a discourse relation between syntactically connected units within discourse structure, instead work anaphorically to contribute relational meaning, with only indirect dependence on discourse structure. This allows a simpler discourse st... | {
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cs/0109013 | Conceptual Analysis of Lexical Taxonomies: The Case of WordNet Top-Level | [
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] | In this paper we propose an analysis and an upgrade of WordNet's top-level synset taxonomy. We briefly review WordNet and identify its main semantic limitations. Some principles from a forthcoming OntoClean methodology are applied to the ontological analysis of WordNet. A revised top-level taxonomy is proposed, which i... | {
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cs/0109014 | Assigning Satisfaction Values to Constraints: An Algorithm to Solve
Dynamic Meta-Constraints | [
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] | The model of Dynamic Meta-Constraints has special activity constraints which can activate other constraints. It also has meta-constraints which range over other constraints. An algorithm is presented in which constraints can be assigned one of five different satisfaction values, which leads to the assignment of domain ... | {
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cs/0109015 | Boosting Trees for Anti-Spam Email Filtering | [
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] | This paper describes a set of comparative experiments for the problem of automatically filtering unwanted electronic mail messages. Several variants of the AdaBoost algorithm with confidence-rated predictions [Schapire & Singer, 99] have been applied, which differ in the complexity of the base learners considered. Two ... | {
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cs/0109020 | Modelling Semantic Association and Conceptual Inheritance for Semantic
Analysis | [
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] | Allowing users to interact through language borders is an interesting challenge for information technology. For the purpose of a computer assisted language learning system, we have chosen icons for representing meaning on the input interface, since icons do not depend on a particular language. However, a key limitation... | {
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cs/0109022 | Interactive Timetabling | [
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] | Timetabling is a typical application of constraint programming whose task is to allocate activities to slots in available resources respecting various constraints like precedence and capacity. In this paper we present a basic concept, a constraint model, and the solving algorithms for interactive timetabling. Interacti... | {
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cs/0109023 | Integrating Multiple Knowledge Sources for Robust Semantic Parsing | [
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] | This work explores a new robust approach for Semantic Parsing of unrestricted texts. Our approach considers Semantic Parsing as a Consistent Labelling Problem (CLP), allowing the integration of several knowledge types (syntactic and semantic) obtained from different sources (linguistic and statistic). The current imple... | {
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cs/0109025 | Dynamic Global Constraints: A First View | [
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] | Global constraints proved themselves to be an efficient tool for modelling and solving large-scale real-life combinatorial problems. They encapsulate a set of binary constraints and using global reasoning about this set they filter the domains of involved variables better than arc consistency among the set of binary co... | {
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cs/0109029 | Learning class-to-class selectional preferences | [
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] | Selectional preference learning methods have usually focused on word-to-class relations, e.g., a verb selects as its subject a given nominal class. This papers extends previous statistical models to class-to-class preferences, and presents a model that learns selectional preferences for classes of verbs. The motivation... | {
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cs/0109030 | Knowledge Sources for Word Sense Disambiguation | [
"cs.CL"
] | Two kinds of systems have been defined during the long history of WSD: principled systems that define which knowledge types are useful for WSD, and robust systems that use the information sources at hand, such as, dictionaries, light-weight ontologies or hand-tagged corpora. This paper tries to systematize the relation... | {
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cs/0109031 | Enriching WordNet concepts with topic signatures | [
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] | This paper explores the possibility of enriching the content of existing ontologies. The overall goal is to overcome the lack of topical links among concepts in WordNet. Each concept is to be associated to a topic signature, i.e., a set of related words with associated weights. The signatures can be automatically const... | {
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cs/0109034 | Relevant Knowledge First - Reinforcement Learning and Forgetting in
Knowledge Based Configuration | [
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] | In order to solve complex configuration tasks in technical domains, various knowledge based methods have been developed. However their applicability is often unsuccessful due to their low efficiency. One of the reasons for this is that (parts of the) problems have to be solved again and again, instead of being "learnt"... | {
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cs/0109039 | Testing for Mathematical Lineation in Jim Crace's "Quarantine" and T. S.
Eliot's "Four Quartets" | [
"cs.CL"
] | The mathematical distinction between prose and verse may be detected in writings that are not apparently lineated, for example in T. S. Eliot's "Burnt Norton", and Jim Crace's "Quarantine". In this paper we offer comments on appropriate statistical methods for such work, and also on the nature of formal innovation in t... | {
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cs/0109040 | The Building of BODHI, a Bio-diversity Database System | [
"cs.DB",
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] | We have recently built a database system called BODHI, intended to store plant bio-diversity information. It is based on an object-oriented modeling approach and is developed completely around public-domain software. The unique feature of BODHI is that it seamlessly integrates diverse types of data, including taxonomic... | {
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cs/0109042 | Intelligent Search of Correlated Alarms from Database containing Noise
Data | [
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] | Alarm correlation plays an important role in improving the service and reliability in modern telecommunications networks. Most previous research of alarm correlation didn't consider the effect of noise data in Database. This paper focuses on the method of discovering alarm correlation rules from database containing noi... | {
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cs/0109084 | The Internet and Community Networks: Case Studies of Five U.S. Cities | [
"cs.DB"
] | This paper looks at five U.S. cities (Austin, Cleveland, Nashville, Portland, and Washington, DC) and explores strategies being employed by community activists and local governments to create and sustain community networking projects. In some cities, community networking initiatives are relatively mature, while in othe... | {
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cs/0109116 | Digital Color Imaging | [
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] | This paper surveys current technology and research in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology. Present-day color recording and reproduction ... | {
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cs/0110003 | The temporal calculus of conditional objects and conditional events | [
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] | We consider the problem of defining conditional objects (a|b), which would allow one to regard the conditional probability Pr(a|b) as a probability of a well-defined event rather than as a shorthand for Pr(ab)/Pr(b). The next issue is to define boolean combinations of conditional objects, and possibly also the operator... | {
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cs/0110004 | Embedding conditional event algebras into temporal calculus of
conditionals | [
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] | In this paper we prove that all the existing conditional event algebras embed into a three-valued extension of temporal logic of discrete past time, which the authors of this paper have proposed in anothe paper as a general model of conditional events. First of all, we discuss the descriptive incompleteness of the ce... | {
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cs/0110014 | The Open Language Archives Community and Asian Language Resources | [
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] | The Open Language Archives Community (OLAC) is a new project to build a worldwide system of federated language archives based on the Open Archives Initiative and the Dublin Core Metadata Initiative. This paper aims to disseminate the OLAC vision to the language resources community in Asia, and to show language technolo... | {
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cs/0110015 | Richer Syntactic Dependencies for Structured Language Modeling | [
"cs.CL"
] | The paper investigates the use of richer syntactic dependencies in the structured language model (SLM). We present two simple methods of enriching the dependencies in the syntactic parse trees used for intializing the SLM. We evaluate the impact of both methods on the perplexity (PPL) and word-error-rate(WER, N-best re... | {
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cs/0110020 | Structuring Business Metadata in Data Warehouse Systems for Effective
Business Support | [
"cs.DB"
] | Large organizations today are being served by different types of data processing and informations systems, ranging from the operational (OLTP) systems, data warehouse systems, to data mining and business intelligence applications. It is important to create an integrated repository of what these systems contain and do i... | {
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cs/0110021 | Alife Model of Evolutionary Emergence of Purposeful Adaptive Behavior | [
"cs.NE"
] | The process of evolutionary emergence of purposeful adaptive behavior is investigated by means of computer simulations. The model proposed implies that there is an evolving population of simple agents, which have two natural needs: energy and reproduction. Any need is characterized quantitatively by a corresponding mot... | {
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cs/0110023 | Set Unification | [
"cs.LO",
"cs.AI",
"cs.SC"
] | The unification problem in algebras capable of describing sets has been tackled, directly or indirectly, by many researchers and it finds important applications in various research areas--e.g., deductive databases, theorem proving, static analysis, rapid software prototyping. The various solutions proposed are spread a... | {
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cs/0110026 | Information retrieval in Current Research Information Systems | [
"cs.IR",
"cs.DL"
] | In this paper we describe the requirements for research information systems and problems which arise in the development of such system. Here is shown which problems could be solved by using of knowledge markup technologies. Ontology for Research Information System offered. Architecture for collecting research data and ... | {
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cs/0110027 | Part-of-Speech Tagging with Two Sequential Transducers | [
"cs.CL"
] | We present a method of constructing and using a cascade consisting of a left- and a right-sequential finite-state transducer (FST), T1 and T2, for part-of-speech (POS) disambiguation. Compared to an HMM, this FST cascade has the advantage of significantly higher processing speed, but at the cost of slightly lower accur... | {
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cs/0110032 | A logic-based approach to data integration | [
"cs.DB",
"cs.AI"
] | An important aspect of data integration involves answering queries using various resources rather than by accessing database relations. The process of transforming a query from the database relations to the resources is often referred to as query folding or answering queries using views, where the views are the resourc... | {
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cs/0110036 | Efficient algorithms for decision tree cross-validation | [
"cs.LG"
] | Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward implementation of the technique is its computational overhead. In this paper we show that, for decision trees, the computational overhead of... | {
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cs/0110041 | Towards Solving the Interdisciplinary Language Barrier Problem | [
"cs.CY",
"cs.CL",
"cs.IR"
] | This work aims to make it easier for a specialist in one field to find and explore ideas from another field which may be useful in solving a new problem arising in his practice. It presents a methodology which serves to represent the relationships that exist between concepts, problems, and solution patterns from differ... | {
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cs/0110044 | EquiX--A Search and Query Language for XML | [
"cs.DB"
] | EquiX is a search language for XML that combines the power of querying with the simplicity of searching. Requirements for such languages are discussed and it is shown that EquiX meets the necessary criteria. Both a graph-based abstract syntax and a formal concrete syntax are presented for EquiX queries. In addition, th... | {
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cs/0110047 | The Expresso Microarray Experiment Management System: The Functional
Genomics of Stress Responses in Loblolly Pine | [
"cs.OH",
"cs.CE",
"q-bio.GN"
] | Conception, design, and implementation of cDNA microarray experiments present a variety of bioinformatics challenges for biologists and computational scientists. The multiple stages of data acquisition and analysis have motivated the design of Expresso, a system for microarray experiment management. Salient aspects of ... | {
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cs/0110048 | Multivariant Branching Prediction, Reflection, and Retrospection | [
"cs.CE",
"cs.DC"
] | In branching simulation, a novel approach to simulation presented in this paper, a multiplicity of plausible scenarios are concurrently developed and implemented. In conventional simulations of complex systems, there arise from time to time uncertainties as to which of two or more alternatives are more likely to be pur... | {
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cs/0110050 | What is the minimal set of fragments that achieves maximal parse
accuracy? | [
"cs.CL"
] | We aim at finding the minimal set of fragments which achieves maximal parse accuracy in Data Oriented Parsing. Experiments with the Penn Wall Street Journal treebank show that counts of almost arbitrary fragments within parse trees are important, leading to improved parse accuracy over previous models tested on this tr... | {
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cs/0110051 | Combining semantic and syntactic structure for language modeling | [
"cs.CL"
] | Structured language models for speech recognition have been shown to remedy the weaknesses of n-gram models. All current structured language models are, however, limited in that they do not take into account dependencies between non-headwords. We show that non-headword dependencies contribute to significantly improved ... | {
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cs/0110052 | Mragyati : A System for Keyword-based Searching in Databases | [
"cs.DB"
] | The web, through many search engine sites, has popularized the keyword-based search paradigm, where a user can specify a string of keywords and expect to retrieve relevant documents, possibly ranked by their relevance to the query. Since a lot of information is stored in databases (and not as HTML documents), it is imp... | {
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cs/0110053 | Machine Learning in Automated Text Categorization | [
"cs.IR",
"cs.LG"
] | The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on m... | {
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cs/0110055 | Analytical solution of transient scalar wave and diffusion problems of
arbitrary dimensionality and geometry by RBF wavelet series | [
"cs.NA",
"cs.CE"
] | This study applies the RBF wavelet series to the evaluation of analytical solutions of linear time-dependent wave and diffusion problems of any dimensionality and geometry. To the best of the author's knowledge, such analytical solutions have never been achieved before. The RBF wavelets can be understood an alternative... | {
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cs/0110057 | Generating Multilingual Personalized Descriptions of Museum Exhibits -
The M-PIRO Project | [
"cs.CL",
"cs.AI"
] | This paper provides an overall presentation of the M-PIRO project. M-PIRO is developing technology that will allow museums to generate automatically textual or spoken descriptions of exhibits for collections available over the Web or in virtual reality environments. The descriptions are generated in several languages f... | {
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cs/0110067 | Analysis of Investment Policy in Belarus | [
"cs.CE"
] | The optimal planning trajectory is analyzed on the basis of the growth model with effectiveness. The saving per capital value has to be rather high initially with smooth decrement in the future years. | {
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cs/0111003 | The Use of Classifiers in Sequential Inference | [
"cs.LG",
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] | We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we develop two general approaches for an important subproblem-identifying phrase structure. The first is a Markovian approach that extends standard ... | {
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cs/0111004 | The Relational Database Aspects of Argonne's ATLAS Control System | [
"cs.DB"
] | The Relational Database Aspects of Argonnes ATLAS Control System Argonnes ATLAS (Argonne Tandem Linac Accelerator System) control system comprises two separate database concepts. The first is the distributed real-time database structure provided by the commercial product Vsystem [1]. The second is a more static relatio... | {
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cs/0111006 | Proliferation of SDDS Support for Various Platforms and Languages | [
"cs.DB"
] | Since Self-Describing Data Sets (SDDS) were first introduced, the source code has been ported to many different operating systems and various languages. SDDS is now available in C, Tcl, Java, Fortran, and Python. All of these versions are supported on Solaris, Linux, and Windows. The C version of SDDS is also supported... | {
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cs/0111007 | Explaining Scenarios for Information Personalization | [
"cs.HC",
"cs.IR"
] | Personalization customizes information access. The PIPE ("Personalization is Partial Evaluation") modeling methodology represents interaction with an information space as a program. The program is then specialized to a user's known interests or information seeking activity by the technique of partial evaluation. In thi... | {
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cs/0111012 | Intelligent Anticipated Exploration of Web Sites | [
"cs.AI",
"cs.IR"
] | In this paper we describe a web search agent, called Global Search Agent (hereafter GSA for short). GSA integrates and enhances several search techniques in order to achieve significant improvements in the user-perceived quality of delivered information as compared to usual web search engines. GSA features intelligent ... | {
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cs/0111015 | The SDSS SkyServer, Public Access to the Sloan Digital Sky Server Data | [
"cs.DL",
"cs.DB"
] | The SkyServer provides Internet access to the public Sloan Digital Sky Survey (SDSS) data for both astronomers and for science education. This paper describes the SkyServer goals and architecture. It also describes our experience operating the SkyServer on the Internet. The SDSS data is public and well-documented so it... | {
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cs/0111018 | Data Acquisition and Database Management System for Samsung
Superconductor Test Facility | [
"cs.DB",
"cs.AI"
] | In order to fulfill the test requirement of KSTAR (Korea Superconducting Tokamak Advanced Research) superconducting magnet system, a large scale superconducting magnet and conductor test facility, SSTF (Samsung Superconductor Test Facility), has been constructed at Samsung Advanced Institute of Technology. The computer... | {
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cs/0111038 | Arc consistency for soft constraints | [
"cs.AI",
"cs.CC",
"cs.DS"
] | The notion of arc consistency plays a central role in constraint satisfaction. It is known that the notion of local consistency can be extended to constraint optimisation problems defined by soft constraint frameworks based on an idempotent cost combination operator. This excludes non idempotent operators such as + whi... | {
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cs/0111051 | Predicting RNA Secondary Structures with Arbitrary Pseudoknots by
Maximizing the Number of Stacking Pairs | [
"cs.CE",
"cs.DS",
"q-bio"
] | The paper investigates the computational problem of predicting RNA secondary structures. The general belief is that allowing pseudoknots makes the problem hard. Existing polynomial-time algorithms are heuristic algorithms with no performance guarantee and can only handle limited types of pseudoknots. In this paper we i... | {
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cs/0111054 | The similarity metric | [
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"cs.CV",
"math.CO",
"math.MG",
"math.ST",
"physics.data-an",
"q-bio.GN",
"stat.TH"
] | A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new ``normalized information distance'', based on the noncomputable notion of Kolmogorov complexity, and show that it is in this class and it minorizes every compu... | {
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cs/0111058 | Bayesian Logic Programs | [
"cs.AI",
"cs.LO"
] | Bayesian networks provide an elegant formalism for representing and reasoning about uncertainty using probability theory. Theyare a probabilistic extension of propositional logic and, hence, inherit some of the limitations of propositional logic, such as the difficulties to represent objects and relations. We introduce... | {
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cs/0111060 | Gradient-based Reinforcement Planning in Policy-Search Methods | [
"cs.AI"
] | We introduce a learning method called ``gradient-based reinforcement planning'' (GREP). Unlike traditional DP methods that improve their policy backwards in time, GREP is a gradient-based method that plans ahead and improves its policy before it actually acts in the environment. We derive formulas for the exact policy ... | {
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cs/0111063 | New RBF collocation methods and kernel RBF with applications | [
"cs.NA",
"cs.CE"
] | A few novel radial basis function (RBF) discretization schemes for partial differential equations are developed in this study. For boundary-type methods, we derive the indirect and direct symmetric boundary knot methods. Based on the multiple reciprocity principle, the boundary particle method is introduced for general... | {
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cs/0111064 | A procedure for unsupervised lexicon learning | [
"cs.CL"
] | We describe an incremental unsupervised procedure to learn words from transcribed continuous speech. The algorithm is based on a conservative and traditional statistical model, and results of empirical tests show that it is competitive with other algorithms that have been proposed recently for this task. | {
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cs/0111065 | A Statistical Model for Word Discovery in Transcribed Speech | [
"cs.CL"
] | A statistical model for segmentation and word discovery in continuous speech is presented. An incremental unsupervised learning algorithm to infer word boundaries based on this model is described. Results of empirical tests showing that the algorithm is competitive with other models that have been used for similar task... | {
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cs/0112003 | Using a Support-Vector Machine for Japanese-to-English Translation of
Tense, Aspect, and Modality | [
"cs.CL"
] | This paper describes experiments carried out using a variety of machine-learning methods, including the k-nearest neighborhood method that was used in a previous study, for the translation of tense, aspect, and modality. It was found that the support-vector machine method was the most precise of all the methods tested. | {
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cs/0112004 | Part of Speech Tagging in Thai Language Using Support Vector Machine | [
"cs.CL"
] | The elastic-input neuro tagger and hybrid tagger, combined with a neural network and Brill's error-driven learning, have already been proposed for the purpose of constructing a practical tagger using as little training data as possible. When a small Thai corpus is used for training, these taggers have tagging accuracie... | {
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cs/0112005 | Universal Model for Paraphrasing -- Using Transformation Based on a
Defined Criteria -- | [
"cs.CL"
] | This paper describes a universal model for paraphrasing that transforms according to defined criteria. We showed that by using different criteria we could construct different kinds of paraphrasing systems including one for answering questions, one for compressing sentences, one for polishing up, and one for transformin... | {
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cs/0112006 | A Logic Programming Approach to Knowledge-State Planning: Semantics and
Complexity | [
"cs.AI",
"cs.LO"
] | We propose a new declarative planning language, called K, which is based on principles and methods of logic programming. In this language, transitions between states of knowledge can be described, rather than transitions between completely described states of the world, which makes the language well-suited for planning... | {
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cs/0112007 | A Tight Upper Bound on the Number of Candidate Patterns | [
"cs.DB",
"cs.AI"
] | In the context of mining for frequent patterns using the standard levelwise algorithm, the following question arises: given the current level and the current set of frequent patterns, what is the maximal number of candidate patterns that can be generated on the next level? We answer this question by providing a tight u... | {
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cs/0112008 | Representation of Uncertainty for Limit Processes | [
"cs.AI",
"cs.NA"
] | Many mathematical models utilize limit processes. Continuous functions and the calculus, differential equations and topology, all are based on limits and continuity. However, when we perform measurements and computations, we can achieve only approximate results. In some cases, this discrepancy between theoretical schem... | {
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cs/0112009 | DNA Self-Assembly For Constructing 3D Boxes | [
"cs.CC",
"cs.CE"
] | We propose a mathematical model of DNA self-assembly using 2D tiles to form 3D nanostructures. This is the first work to combine studies in self-assembly and nanotechnology in 3D, just as Rothemund and Winfree did in the 2D case. Our model is a more precise superset of their Tile Assembly Model that facilitates buildin... | {
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cs/0112010 | A Straightforward Approach to Morphological Analysis and Synthesis | [
"cs.CL",
"cs.DS"
] | In this paper we present a lexicon-based approach to the problem of morphological processing. Full-form words, lemmas and grammatical tags are interconnected in a DAWG. Thus, the process of analysis/synthesis is reduced to a search in the graph, which is very fast and can be performed even if several pieces of informat... | {
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cs/0112011 | Interactive Constrained Association Rule Mining | [
"cs.DB",
"cs.AI"
] | We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to be generated. Our approach is a combination of the integration of querying conditions inside the mining phase, and the incremental querying o... | {
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cs/0112013 | A Data Mining Framework for Optimal Product Selection in Retail
Supermarket Data: The Generalized PROFSET Model | [
"cs.DB",
"cs.AI"
] | In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt association rules to optimize concrete retail marketing-mix decisions. It is in this context that, in a previous paper, the authors have int... | {
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cs/0112015 | Rational Competitive Analysis | [
"cs.AI"
] | Much work in computer science has adopted competitive analysis as a tool for decision making under uncertainty. In this work we extend competitive analysis to the context of multi-agent systems. Unlike classical competitive analysis where the behavior of an agent's environment is taken to be arbitrary, we consider the ... | {
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cs/0112018 | Fast Context-Free Grammar Parsing Requires Fast Boolean Matrix
Multiplication | [
"cs.CL",
"cs.DS"
] | In 1975, Valiant showed that Boolean matrix multiplication can be used for parsing context-free grammars (CFGs), yielding the asympotically fastest (although not practical) CFG parsing algorithm known. We prove a dual result: any CFG parser with time complexity $O(g n^{3 - \epsilson})$, where $g$ is the size of the gra... | {
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cs/0112019 | Distribution of Mutual Information | [
"cs.AI",
"cs.IT",
"math.IT",
"math.ST",
"stat.TH"
] | The mutual information of two random variables i and j with joint probabilities t_ij is commonly used in learning Bayesian nets as well as in many other fields. The chances t_ij are usually estimated by the empirical sampling frequency n_ij/n leading to a point estimate I(n_ij/n) for the mutual information. To answer q... | {
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cs/0201002 | Incremental Construction of Compact Acyclic NFAs | [
"cs.DS",
"cs.CL"
] | This paper presents and analyzes an incremental algorithm for the construction of Acyclic Non-deterministic Finite-state Automata (NFA). Automata of this type are quite useful in computational linguistics, especially for storing lexicons. The proposed algorithm produces compact NFAs, i.e. NFAs that do not contain equiv... | {
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cs/0201005 | Sharpening Occam's Razor | [
"cs.LG",
"cond-mat.dis-nn",
"cs.AI",
"cs.CC",
"math.PR",
"physics.data-an"
] | We provide a new representation-independent formulation of Occam's razor theorem, based on Kolmogorov complexity. This new formulation allows us to: (i) Obtain better sample complexity than both length-based and VC-based versions of Occam's razor theorem, in many applications. (ii) Achieve a sharper reverse of Occa... | {
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cs/0201008 | Using Tree Automata and Regular Expressions to Manipulate Hierarchically
Structured Data | [
"cs.CL",
"cs.DS"
] | Information, stored or transmitted in digital form, is often structured. Individual data records are usually represented as hierarchies of their elements. Together, records form larger structures. Information processing applications have to take account of this structuring, which assigns different semantics to differen... | {
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cs/0201009 | The performance of the batch learner algorithm | [
"cs.LG",
"cs.DM"
] | We analyze completely the convergence speed of the \emph{batch learning algorithm}, and compare its speed to that of the memoryless learning algorithm and of learning with memory. We show that the batch learning algorithm is never worse than the memoryless learning algorithm (at least asymptotically). Its performance \... | {
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cs/0201013 | Computing Preferred Answer Sets by Meta-Interpretation in Answer Set
Programming | [
"cs.LO",
"cs.AI"
] | Most recently, Answer Set Programming (ASP) is attracting interest as a new paradigm for problem solving. An important aspect which needs to be supported is the handling of preferences between rules, for which several approaches have been presented. In this paper, we consider the problem of implementing preference hand... | {
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cs/0201014 | The Dynamics of AdaBoost Weights Tells You What's Hard to Classify | [
"cs.LG",
"cs.DS"
] | The dynamical evolution of weights in the Adaboost algorithm contains useful information about the role that the associated data points play in the built of the Adaboost model. In particular, the dynamics induces a bipartition of the data set into two (easy/hard) classes. Easy points are ininfluential in the making of ... | {
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cs/0201016 | A computer scientist looks at game theory | [
"cs.GT",
"cs.DC",
"cs.MA"
] | I consider issues in distributed computation that should be of relevance to game theory. In particular, I focus on (a) representing knowledge and uncertainty, (b) dealing with failures, and (c) specification of mechanisms. | {
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cs/0201017 | Collusion in Unrepeated, First-Price Auctions with an Uncertain Number
of Participants | [
"cs.GT",
"cs.AI"
] | We consider the question of whether collusion among bidders (a "bidding ring") can be supported in equilibrium of unrepeated first-price auctions. Unlike previous work on the topic such as that by McAfee and McMillan [1992] and Marshall and Marx [2007], we do not assume that non-colluding agents have perfect knowledge ... | {
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cs/0201019 | Structure from Motion: Theoretical Foundations of a Novel Approach Using
Custom Built Invariants | [
"cs.CV",
"math.DG"
] | We rephrase the problem of 3D reconstruction from images in terms of intersections of projections of orbits of custom built Lie groups actions. We then use an algorithmic method based on moving frames "a la Fels-Olver" to obtain a fundamental set of invariants of these groups actions. The invariants are used to define ... | {
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cs/0201020 | A Modal Logic Framework for Multi-agent Belief Fusion | [
"cs.AI",
"cs.LO"
] | This paper is aimed at providing a uniform framework for reasoning about beliefs of multiple agents and their fusion. In the first part of the paper, we develop logics for reasoning about cautiously merged beliefs of agents with different degrees of reliability. The logics are obtained by combining the multi-agent epis... | {
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cs/0201021 | Learning to Play Games in Extensive Form by Valuation | [
"cs.LG",
"cs.GT"
] | A valuation for a player in a game in extensive form is an assignment of numeric values to the players moves. The valuation reflects the desirability moves. We assume a myopic player, who chooses a move with the highest valuation. Valuations can also be revised, and hopefully improved, after each play of the game. Here... | {
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cs/0201022 | A theory of experiment | [
"cs.AI"
] | This article aims at clarifying the language and practice of scientific experiment, mainly by hooking observability on calculability. | {
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cs/0201024 | Design of statistical quality control procedures using genetic
algorithms | [
"cs.NE"
] | In general, we can not use algebraic or enumerative methods to optimize a quality control (QC) procedure so as to detect the critical random and systematic analytical errors with stated probabilities, while the probability for false rejection is minimum. Genetic algorithms (GAs) offer an alternative, as they do not req... | {
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cs/0201026 | An Empirical Model for Volatility of Returns and Option Pricing | [
"cs.CE"
] | In a seminal paper in 1973, Black and Scholes argued how expected distributions of stock prices can be used to price options. Their model assumed a directed random motion for the returns and consequently a lognormal distribution of asset prices after a finite time. We point out two problems with their formulation. Firs... | {
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cs/0202001 | The Deductive Database System LDL++ | [
"cs.DB",
"cs.AI"
] | This paper describes the LDL++ system and the research advances that have enabled its design and development. We begin by discussing the new nonmonotonic and nondeterministic constructs that extend the functionality of the LDL++ language, while preserving its model-theoretic and fixpoint semantics. Then, we describe th... | {
"Other": 0,
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} |
cs/0202004 | A Qualitative Dynamical Modelling Approach to Capital Accumulation in
Unregulated Fisheries | [
"cs.AI",
"cs.CE"
] | Capital accumulation has been a major issue in fisheries economics over the last two decades, whereby the interaction of the fish and capital stocks were of particular interest. Because bio-economic systems are intrinsically complex, previous efforts in this field have relied on a variety of simplifying assumptions. Th... | {
"Other": 0,
"cs.AI": 1,
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} |
cs/0202005 | Secure History Preservation Through Timeline Entanglement | [
"cs.DC",
"cs.CR",
"cs.DB",
"cs.DS"
] | A secure timeline is a tamper-evident historic record of the states through which a system goes throughout its operational history. Secure timelines can help us reason about the temporal ordering of system states in a provable manner. We extend secure timelines to encompass multiple, mutually distrustful services, usin... | {
"Other": 1,
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} |
cs/0202007 | Steady State Resource Allocation Analysis of the Stochastic Diffusion
Search | [
"cs.AI",
"cs.NE"
] | This article presents the long-term behaviour analysis of Stochastic Diffusion Search (SDS), a distributed agent-based system for best-fit pattern matching. SDS operates by allocating simple agents into different regions of the search space. Agents independently pose hypotheses about the presence of the pattern in the ... | {
"Other": 0,
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"cs.NE": 1,
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"cs.SY": 0
} |
cs/0202009 | Non-negative sparse coding | [
"cs.NE",
"cs.CV"
] | Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this type of data representation and its relation to standard sparse coding and non-negative matrix factorization. We then give a simple yet efficient mul... | {
"Other": 0,
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"cs.NE": 1,
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} |
cs/0202012 | Logic program specialisation through partial deduction: Control issues | [
"cs.PL",
"cs.AI"
] | Program specialisation aims at improving the overall performance of programs by performing source to source transformations. A common approach within functional and logic programming, known respectively as partial evaluation and partial deduction, is to exploit partial knowledge about the input. It is achieved through ... | {
"Other": 1,
"cs.AI": 1,
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} |
cs/0202013 | The SDSS SkyServer: Public Access to the Sloan Digital Sky Server Data | [
"cs.DL",
"cs.DB"
] | The SkyServer provides Internet access to the public Sloan Digi-tal Sky Survey (SDSS) data for both astronomers and for science education. This paper describes the SkyServer goals and archi-tecture. It also describes our experience operating the SkyServer on the Internet. The SDSS data is public and well-documented so ... | {
"Other": 1,
"cs.AI": 0,
"cs.CE": 0,
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"cs.CR": 0,
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"cs.SD": 0,
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} |
cs/0202014 | Data Mining the SDSS SkyServer Database | [
"cs.DB",
"cs.DL"
] | An earlier paper (Szalay et. al. "Designing and Mining MultiTerabyte Astronomy Archives: The Sloan Digital Sky Survey," ACM SIGMOD 2000) described the Sloan Digital Sky Survey's (SDSS) data management needs by defining twenty database queries and twelve data visualization tasks that a good data management system should... | {
"Other": 1,
"cs.AI": 0,
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"cs.CR": 0,
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"cs.SI": 0,
"cs.SY": 0
} |
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