Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
values |
|---|---|---|---|---|
36,907 | Optimal Release Time Decision from Fuzzy Mathematical Programming
Perspective | cs.AI | Demand for high software reliability requires rigorous testing followed by
requirement of robust modeling techniques for software quality prediction. On
one side, firms have to steadily manage the reliability by testing it
vigorously, the optimal release time determination is their biggest concern. In
past many models ... | computer science |
36,908 | Approximation and Heuristic Algorithms for Probabilistic Physical Search
on General Graphs | cs.MA | We consider an agent seeking to obtain an item, potentially available at
different locations in a physical environment. The traveling costs between
locations are known in advance, but there is only probabilistic knowledge
regarding the possible prices of the item at any given location. Given such a
setting, the problem... | computer science |
36,909 | An Innovative Approach for online Meta Search Engine Optimization | cs.IR | This paper presents an approach to identify efficient techniques used in Web
Search Engine Optimization (SEO). Understanding SEO factors which can influence
page ranking in search engine is significant for webmasters who wish to attract
large number of users to their website. Different from previous relevant
research, ... | computer science |
36,910 | Reasoning in Infinitely Valued G-IALCQ | cs.AI | Fuzzy Description Logics (FDLs) are logic-based formalisms used to represent
and reason with vague or imprecise knowledge. It has been recently shown that
reasoning in most FDLs using truth values from the interval [0,1] becomes
undecidable in the presence of a negation constructor and general concept
inclusion axioms.... | computer science |
36,911 | Two Phase $Q-$learning for Bidding-based Vehicle Sharing | cs.AI | We consider one-way vehicle sharing systems where customers can rent a car at
one station and drop it off at another. The problem we address is to optimize
the distribution of cars, and quality of service, by pricing rentals
appropriately. We propose a bidding approach that is inspired from auctions and
takes into acco... | computer science |
36,912 | Knowledge-based system for collaborative process specification | cs.SE | This paper presents an ontology-based approach for the design of a
collaborative business process model (CBP). This CBP is considered as a
specification of needs in order to build a collaboration information system
(CIS) for a network of organisations. The study is a part of a model driven
engineering approach of the C... | computer science |
36,913 | Supporting interoperability of collaborative networks through
engineering of a service-based Mediation Information System (MISE 2.0) | cs.SE | The Mediation Information System Engineering project is currently finishing
its second iteration (MISE 2.0). The main objective of this scientific project
is to provide any emerging collaborative situation with methods and tools to
deploy a Mediation Information System (MIS). MISE 2.0 aims at defining and
designing a s... | computer science |
36,914 | Exposing the Probabilistic Causal Structure of Discrimination | cs.DB | Discrimination discovery from data is an important task aiming at identifying
patterns of illegal and unethical discriminatory activities against
protected-by-law groups, e.g., ethnic minorities. While any legally-valid proof
of discrimination requires evidence of causality, the state-of-the-art methods
are essentially... | computer science |
36,915 | Intelligent Search Optimization using Artificial Fuzzy Logics | cs.AI | Information on the web is prodigious; searching relevant information is
difficult making web users to rely on search engines for finding relevant
information on the web. Search engines index and categorize web pages according
to their contents using crawlers and rank them accordingly. For given user
query they retrieve... | computer science |
36,916 | VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback | cs.IR | Modern recommender systems model people and items by discovering or `teasing
apart' the underlying dimensions that encode the properties of items and users'
preferences toward them. Critically, such dimensions are uncovered based on
user feedback, often in implicit form (such as purchase histories, browsing
logs, etc.)... | computer science |
36,917 | Budget Constraints in Prediction Markets | cs.GT | We give a detailed characterization of optimal trades under budget
constraints in a prediction market with a cost-function-based automated market
maker. We study how the budget constraints of individual traders affect their
ability to impact the market price. As a concrete application of our
characterization, we give s... | computer science |
36,918 | On oblivious branching programs with bounded repetition that cannot
efficiently compute CNFs of bounded treewidth | cs.CC | In this paper we study complexity of an extension of ordered binary decision
diagrams (OBDDs) called $c$-OBDDs on CNFs of bounded (primal graph) treewidth.
In particular, we show that for each $k$ there is a class of CNFs of treewidth
$k \geq 3$ for which the equivalent $c$-OBDDs are of size
$\Omega(n^{k/(8c-4)})$. Mor... | computer science |
36,919 | A Multilevel Coordinate Search Algorithm for Well Placement, Control and
Joint Optimization | math.OC | Determining optimal well placements and controls are two important tasks in
oil field development. These problems are computationally expensive, nonconvex,
and contain multiple optima. The practical solution of these problems require
efficient and robust algorithms. In this paper, the multilevel coordinate
search (MCS)... | computer science |
36,920 | Improving the Competency of First-Order Ontologies | cs.AI | We introduce a new framework to evaluate and improve first-order (FO)
ontologies using automated theorem provers (ATPs) on the basis of competency
questions (CQs). Our framework includes both the adaptation of a methodology
for evaluating ontologies to the framework of first-order logic and a new set
of non-trivial CQs... | computer science |
36,921 | Evaluating the Competency of a First-Order Ontology | cs.AI | We report on the results of evaluating the competency of a first-order
ontology for its use with automated theorem provers (ATPs). The evaluation
follows the adaptation of the methodology based on competency questions (CQs)
[Gr\"uninger&Fox,1995] to the framework of first-order logic, which is
presented in [\'Alvez&Luc... | computer science |
36,922 | Causal Falling Rule Lists | cs.AI | A causal falling rule list (CFRL) is a sequence of if-then rules that
specifies heterogeneous treatment effects, where (i) the order of rules
determines the treatment effect subgroup a subject belongs to, and (ii) the
treatment effect decreases monotonically down the list. A given CFRL
parameterizes a hierarchical baye... | computer science |
36,923 | Creating Scalable and Interactive Web Applications Using High
Performance Latent Variable Models | cs.AI | In this project we outline a modularized, scalable system for comparing
Amazon products in an interactive and informative way using efficient latent
variable models and dynamic visualization. We demonstrate how our system can
build on the structure and rich review information of Amazon products in order
to provide a fa... | computer science |
36,924 | Redesigning pattern mining algorithms for supercomputers | cs.DC | Upcoming many core processors are expected to employ a distributed memory
architecture similar to currently available supercomputers, but parallel
pattern mining algorithms amenable to the architecture are not comprehensively
studied. We present a novel closed pattern mining algorithm with a
well-engineered communicati... | computer science |
36,925 | Computing the Ramsey Number R(4,3,3) using Abstraction and Symmetry
breaking | cs.AI | The number $R(4,3,3)$ is often presented as the unknown Ramsey number with
the best chances of being found "soon". Yet, its precise value has remained
unknown for almost 50 years. This paper presents a methodology based on
\emph{abstraction} and \emph{symmetry breaking} that applies to solve hard
graph edge-coloring pr... | computer science |
36,926 | Turing's Red Flag | cs.AI | Sometime in the future we will have to deal with the impact of AI's being
mistaken for humans. For this reason, I propose that any autonomous system
should be designed so that it is unlikely to be mistaken for anything besides
an autonomous sysem, and should identify itself at the start of any interaction
with another ... | computer science |
36,927 | Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in
Neocortex | cs.AI | Neocortical neurons have thousands of excitatory synapses. It is a mystery
how neurons integrate the input from so many synapses and what kind of
large-scale network behavior this enables. It has been previously proposed that
non-linear properties of dendrites enable neurons to recognize multiple
patterns. In this pape... | computer science |
36,928 | SAT as a game | cs.CC | We propose a funny representation of SAT. While the primary interest is to
present propositional satisfiability in a playful way for pedagogical purposes,
it could also inspire new search heuristics. | computer science |
36,929 | SWISH: SWI-Prolog for Sharing | cs.PL | Recently, we see a new type of interfaces for programmers based on web
technology. For example, JSFiddle, IPython Notebook and R-studio. Web
technology enables cloud-based solutions, embedding in tutorial web pages,
atractive rendering of results, web-scale cooperative development, etc. This
article describes SWISH, a ... | computer science |
36,930 | Lowering the learning curve for declarative programming: a Python API
for the IDP system | cs.PL | Programmers may be hesitant to use declarative systems, because of the
associated learning curve. In this paper, we present an API that integrates the
IDP Knowledge Base system into the Python programming language. IDP is a
state-of-the-art logical system, which uses SAT, SMT, Logic Programming and
Answer Set Programmi... | computer science |
36,931 | A web-based IDE for IDP | cs.PL | IDP is a knowledge base system based on first order logic. It is finding its
way to a larger public but is still facing practical challenges. Adoption of
new languages requires a newcomer-friendly way for users to interact with it.
Both an online presence to try to convince potential users to download the
system and of... | computer science |
36,932 | Bound Your Models! How to Make OWL an ASP Modeling Language | cs.PL | To exploit the Web Ontology Language OWL as an answer set programming (ASP)
language, we introduce the notion of bounded model semantics, as an intuitive
and computationally advantageous alternative to its classical semantics. We
show that a translation into ASP allows for solving a wide range of
bounded-model reasonin... | computer science |
36,933 | Visualising interactive inferences with IDPD3 | cs.PL | A large part of the use of knowledge base systems is the interpretation of
the output by the end-users and the interaction with these users. Even during
the development process visualisations can be a great help to the developer. We
created IDPD3 as a library to visualise models of logic theories. IDPD3 is a
new versio... | computer science |
36,934 | Combining Privileged Information to Improve Context-Aware Recommender
Systems | cs.IR | A recommender system is an information filtering technology which can be used
to predict preference ratings of items (products, services, movies, etc) and/or
to output a ranking of items that are likely to be of interest to the user.
Context-aware recommender systems (CARS) learn and predict the tastes and
preferences ... | computer science |
36,935 | Incorporating Knowledge into Structural Equation Models using Auxiliary
Variables | stat.ME | In this paper, we extend graph-based identification methods by allowing
background knowledge in the form of non-zero parameter values. Such information
could be obtained, for example, from a previously conducted randomized
experiment, from substantive understanding of the domain, or even an
identification technique. To... | computer science |
36,936 | Complexity of the Description Logic ALCM | cs.LO | In this paper we show that the problem of checking consistency of a knowledge
base in the Description Logic ALCM is ExpTime-complete. The M stands for
meta-modelling as defined by Motz, Rohrer and Severi. To show our main result,
we define an ExpTime Tableau algorithm as an extension of an algorithm for
checking consis... | computer science |
36,937 | Novel Feature Extraction, Selection and Fusion for Effective Malware
Family Classification | cs.CR | Modern malware is designed with mutation characteristics, namely polymorphism
and metamorphism, which causes an enormous growth in the number of variants of
malware samples. Categorization of malware samples on the basis of their
behaviors is essential for the computer security community, because they
receive huge numb... | computer science |
36,938 | Neurocontrol methods review | cs.AI | Methods of applying neural networks to control plants are considered. Methods
and schemes are described, their advantages and disadvantages are discussed. | computer science |
36,939 | Approximate Probabilistic Inference via Word-Level Counting | cs.AI | Hashing-based model counting has emerged as a promising approach for
large-scale probabilistic inference on graphical models. A key component of
these techniques is the use of xor-based 2-universal hash functions that
operate over Boolean domains. Many counting problems arising in probabilistic
inference are, however, ... | computer science |
36,940 | Plan Explicability and Predictability for Robot Task Planning | cs.AI | Intelligent robots and machines are becoming pervasive in human populated
environments. A desirable capability of these agents is to respond to
goal-oriented commands by autonomously constructing task plans. However, such
autonomy can add significant cognitive load and potentially introduce safety
risks to humans when ... | computer science |
36,941 | Breaking Symmetries in Graph Search with Canonizing Sets | cs.AI | There are many complex combinatorial problems which involve searching for an
undirected graph satisfying given constraints. Such problems are often highly
challenging because of the large number of isomorphic representations of their
solutions. This paper introduces effective and compact, complete symmetry
breaking con... | computer science |
36,942 | Welfare of Sequential Allocation Mechanisms for Indivisible Goods | cs.AI | Sequential allocation is a simple and attractive mechanism for the allocation
of indivisible goods. Agents take turns, according to a policy, to pick items.
Sequential allocation is guaranteed to return an allocation which is efficient
but may not have an optimal social welfare. We consider therefore the relation
betwe... | computer science |
36,943 | Column-Oriented Datalog Materialization for Large Knowledge Graphs
(Extended Technical Report) | cs.DB | The evaluation of Datalog rules over large Knowledge Graphs (KGs) is
essential for many applications. In this paper, we present a new method of
materializing Datalog inferences, which combines a column-based memory layout
with novel optimization methods that avoid redundant inferences at runtime. The
pro-active caching... | computer science |
36,944 | Solving Transition-Independent Multi-agent MDPs with Sparse Interactions
(Extended version) | cs.AI | In cooperative multi-agent sequential decision making under uncertainty,
agents must coordinate to find an optimal joint policy that maximises joint
value. Typical algorithms exploit additive structure in the value function, but
in the fully-observable multi-agent MDP setting (MMDP) such structure is not
present. We pr... | computer science |
36,945 | Exploiting Anonymity in Approximate Linear Programming: Scaling to Large
Multiagent MDPs (Extended Version) | cs.AI | Many exact and approximate solution methods for Markov Decision Processes
(MDPs) attempt to exploit structure in the problem and are based on
factorization of the value function. Especially multiagent settings, however,
are known to suffer from an exponential increase in value component sizes as
interactions become den... | computer science |
36,946 | A Hybrid Intelligent Model for Software Cost Estimation | cs.SE | Accurate software development effort estimation is critical to the success of
software projects. Although many techniques and algorithmic models have been
developed and implemented by practitioners, accurate software development
effort prediction is still a challenging endeavor in the field of software
engineering, esp... | computer science |
36,947 | A New Approach for Scalable Analysis of Microbial Communities | cs.AI | Microbial communities play important roles in the function and maintenance of
various biosystems, ranging from human body to the environment. Current methods
for analysis of microbial communities are typically based on taxonomic
phylogenetic alignment using 16S rRNA metagenomic or Whole Genome Sequencing
data. In typic... | computer science |
36,948 | The GTR-model: a universal framework for quantum-like measurements | cs.AI | We present a very general geometrico-dynamical description of physical or
more abstract entities, called the 'general tension-reduction' (GTR) model,
where not only states, but also measurement-interactions can be represented,
and the associated outcome probabilities calculated. Underlying the model is
the hypothesis t... | computer science |
36,949 | Quantifying knowledge with a new calculus for belief functions - a
generalization of probability theory | math.PR | We first show that there are practical situations in for instance forensic
and gambling settings, in which applying classical probability theory, that is,
based on the axioms of Kolmogorov, is problematic. We then introduce and
discuss Shafer belief functions. Technically, Shafer belief functions
generalize probability... | computer science |
36,950 | Assessing forensic evidence by computing belief functions | math.PR | We first discuss certain problems with the classical probabilistic approach
for assessing forensic evidence, in particular its inability to distinguish
between lack of belief and disbelief, and its inability to model complete
ignorance within a given population. We then discuss Shafer belief functions, a
generalization... | computer science |
36,951 | The Rationale behind the Concept of Goal | cs.LO | The paper proposes a fresh look at the concept of goal and advances that
motivational attitudes like desire, goal and intention are just facets of the
broader notion of (acceptable) outcome. We propose to encode the preferences of
an agent as sequences of "alternative acceptable outcomes". We then study how
the agent's... | computer science |
36,952 | Building and Measuring Privacy-Preserving Predictive Blacklists | cs.CR | Collaborative security initiatives are increasingly often advocated to
improve timeliness and effectiveness of threat mitigation. Among these,
collaborative predictive blacklisting (CPB) aims to forecast attack sources
based on alerts contributed by multiple organizations that might be targeted in
similar ways. Alas, C... | computer science |
36,953 | Blind, Greedy, and Random: Ordinal Approximation Algorithms for Matching
and Clustering | cs.GT | We study Matching and other related problems in a partial information setting
where the agents' utilities for being matched to other agents are hidden and
the mechanism only has access to ordinal preference information. Our model is
motivated by the fact that in many settings, agents cannot express the
numerical values... | computer science |
36,954 | On Voting and Facility Location | cs.GT | We study mechanisms for candidate selection that seek to minimize the social
cost, where voters and candidates are associated with points in some underlying
metric space. The social cost of a candidate is the sum of its distances to
each voter. Some of our work assumes that these points can be modeled on a real
line, b... | computer science |
36,955 | Quadripolar Relational Model: a framework for the description of
borderline and narcissistic personality disorders | cs.AI | Borderline personality disorder and narcissistic personality disorder are
important nosographic entities and have been subject of intensive
investigations. The currently prevailing psychodynamic theory for mental
disorders is based on the repertoire of defense mechanisms employed. Another
line of research is concerned ... | computer science |
36,956 | Ontology-driven Information Extraction | cs.AI | Homogeneous unstructured data (HUD) are collections of unstructured documents
that share common properties, such as similar layout, common file format, or
common domain of values. Building on such properties, it would be desirable to
automatically process HUD to access the main information through a semantic
layer -- t... | computer science |
36,957 | Constrained Sampling and Counting: Universal Hashing Meets SAT Solving | cs.AI | Constrained sampling and counting are two fundamental problems in artificial
intelligence with a diverse range of applications, spanning probabilistic
reasoning and planning to constrained-random verification. While the theory of
these problems was thoroughly investigated in the 1980s, prior work either did
not scale t... | computer science |
36,958 | The ERA of FOLE: Foundation | cs.DB | This paper discusses the representation of ontologies in the first-order
logical environment FOLE (Kent 2013). An ontology defines the primitives with
which to model the knowledge resources for a community of discourse (Gruber
2009). These primitives, consisting of classes, relationships and properties,
are represented... | computer science |
36,959 | Selecting the top-quality item through crowd scoring | cs.HC | We investigate crowdsourcing algorithms for finding the top-quality item
within a large collection of objects with unknown intrinsic quality values.
This is an important problem with many relevant applications, for example in
networked recommendation systems. The core of the algorithms is that objects
are distributed t... | computer science |
36,960 | Randomized Social Choice Functions Under Metric Preferences | cs.AI | We determine the quality of randomized social choice mechanisms in a setting
in which the agents have metric preferences: every agent has a cost for each
alternative, and these costs form a metric. We assume that these costs are
unknown to the mechanisms (and possibly even to the agents themselves), which
means we cann... | computer science |
36,961 | RDF2Rules: Learning Rules from RDF Knowledge Bases by Mining Frequent
Predicate Cycles | cs.AI | Recently, several large-scale RDF knowledge bases have been built and applied
in many knowledge-based applications. To further increase the number of facts
in RDF knowledge bases, logic rules can be used to predict new facts based on
the existing ones. Therefore, how to automatically learn reliable rules from
large-sca... | computer science |
36,962 | On the Foundations of the Brussels Operational-Realistic Approach to
Cognition | cs.AI | The scientific community is becoming more and more interested in the research
that applies the mathematical formalism of quantum theory to model human
decision-making. In this paper, we provide the theoretical foundations of the
quantum approach to cognition that we developed in Brussels. These foundations
rest on the ... | computer science |
36,963 | Wavelet Scattering on the Pitch Spiral | cs.SD | We present a new representation of harmonic sounds that linearizes the
dynamics of pitch and spectral envelope, while remaining stable to deformations
in the time-frequency plane. It is an instance of the scattering transform, a
generic operator which cascades wavelet convolutions and modulus
nonlinearities. It is deri... | computer science |
36,964 | How do neurons operate on sparse distributed representations? A
mathematical theory of sparsity, neurons and active dendrites | cs.AI | We propose a formal mathematical model for sparse representations and active
dendrites in neocortex. Our model is inspired by recent experimental findings
on active dendritic processing and NMDA spikes in pyramidal neurons. These
experimental and modeling studies suggest that the basic unit of pattern memory
in the neo... | computer science |
36,965 | Some Experimental Issues in Financial Fraud Detection: An Investigation | cs.CR | Financial fraud detection is an important problem with a number of design
aspects to consider. Issues such as algorithm selection and performance
analysis will affect the perceived ability of proposed solutions, so for
auditors and re-searchers to be able to sufficiently detect financial fraud it
is necessary that thes... | computer science |
36,966 | Complexity of Shift Bribery in Committee Elections | cs.AI | We study the (parameterized) complexity of SHIFT BRIBERY for multiwinner
voting rules. We focus on SNTV, Bloc, k-Borda, and Chamberlin-Courant, as well
as on approximate variants of Chamberlin-Courant, since the original rule is
NP-hard to compute. We show that SHIFT BRIBERY tends to be significantly harder
in the mult... | computer science |
36,967 | A Predictive Model using the Markov Property | stat.ME | Given a data set of numerical values which are sampled from some unknown
probability distribution, we will show how to check if the data set exhibits
the Markov property and we will show how to use the Markov property to predict
future values from the same distribution, with probability 1. | computer science |
36,968 | Toward a Robust Diversity-Based Model to Detect Changes of Context | cs.IR | Being able to automatically and quickly understand the user context during a
session is a main issue for recommender systems. As a first step toward
achieving that goal, we propose a model that observes in real time the
diversity brought by each item relatively to a short sequence of consultations,
corresponding to the... | computer science |
36,969 | Identifying Stable Patterns over Time for Emotion Recognition from EEG | cs.HC | In this paper, we investigate stable patterns of electroencephalogram (EEG)
over time for emotion recognition using a machine learning approach. Up to now,
various findings of activated patterns associated with different emotions have
been reported. However, their stability over time has not been fully
investigated yet... | computer science |
36,970 | A Synthetic Approach for Recommendation: Combining Ratings, Social
Relations, and Reviews | cs.IR | Recommender systems (RSs) provide an effective way of alleviating the
information overload problem by selecting personalized choices. Online social
networks and user-generated content provide diverse sources for recommendation
beyond ratings, which present opportunities as well as challenges for
traditional RSs. Althou... | computer science |
36,971 | Indicators of Good Student Performance in Moodle Activity Data | cs.CY | In this paper we conduct an analysis of Moodle activity data focused on
identifying early predictors of good student performance. The analysis shows
that three relevant hypotheses are largely supported by the data. These
hypotheses are: early submission is a good sign, a high level of activity is
predictive of good res... | computer science |
36,972 | Analysis of Algorithms and Partial Algorithms | cs.AI | We present an alternative methodology for the analysis of algorithms, based
on the concept of expected discounted reward. This methodology naturally
handles algorithms that do not always terminate, so it can (theoretically) be
used with partial algorithms for undecidable problems, such as those found in
artificial gene... | computer science |
36,973 | It's about time: Online Macrotask Sequencing in Expert Crowdsourcing | cs.SI | We introduce the problem of Task Assignment and Sequencing (TAS), which adds
the timeline perspective to expert crowdsourcing optimization. Expert
crowdsourcing involves macrotasks, like document writing, product design, or
web development, which take more time than typical binary microtasks, require
expert skills, ass... | computer science |
36,974 | Semantics for probabilistic programming: higher-order functions,
continuous distributions, and soft constraints | cs.PL | We study the semantic foundation of expressive probabilistic programming
languages, that support higher-order functions, continuous distributions, and
soft constraints (such as Anglican, Church, and Venture). We define a
metalanguage (an idealised version of Anglican) for probabilistic computation
with the above featur... | computer science |
36,975 | Sub-Optimal Multi-Phase Path Planning: A Method for Solving Rubik's
Revenge | math.HO | Rubik's Revenge, a 4x4x4 variant of the Rubik's puzzles, remains to date as
an unsolved puzzle. That is to say, we do not have a method or successful
categorization to optimally solve every one of its approximately $7.401 \times
10^{45}$ possible configurations. Rubik's Cube, Rubik's Revenge's predecessor
(3x3x3), with... | computer science |
36,976 | The Singularity Controversy, Part I: Lessons Learned and Open Questions:
Conclusions from the Battle on the Legitimacy of the Debate | cs.AI | This report seeks to inform policy makers on the nature and the merit of the
arguments for and against the concerns associated with a potential
technological singularity.
Part I describes the lessons learned from our investigation of the subject,
separating the argu-ments of merit from the fallacies and misconception... | computer science |
36,977 | Artificial Persuasion in Pedagogical Games | cs.AI | A Persuasive Teachable Agent (PTA) is a special type of Teachable Agent which
incorporates a persuasion theory in order to provide persuasive and more
personalized feedback to the student. By employing the persuasion techniques,
the PTA seeks to maintain the student in a high motivation and high ability
state in which ... | computer science |
36,978 | Generalizing Prototype Theory: A Formal Quantum Framework | cs.AI | Theories of natural language and concepts have been unable to model the
flexibility, creativity, context-dependence, and emergence, exhibited by words,
concepts and their combinations. The mathematical formalism of quantum theory
has instead been successful in capturing these phenomena such as graded
membership, situat... | computer science |
36,979 | A Survey on Artificial Intelligence and Data Mining for MOOCs | cs.AI | Massive Open Online Courses (MOOCs) have gained tremendous popularity in the
last few years. Thanks to MOOCs, millions of learners from all over the world
have taken thousands of high-quality courses for free. Putting together an
excellent MOOC ecosystem is a multidisciplinary endeavour that requires
contributions from... | computer science |
36,980 | Bachelor's thesis on generative probabilistic programming (in Russian
language, June 2014) | cs.AI | This Bachelor's thesis, written in Russian, is devoted to a relatively new
direction in the field of machine learning and artificial intelligence, namely
probabilistic programming. The thesis gives a brief overview to the already
existing probabilistic programming languages: Church, Venture, and Anglican. It
also descr... | computer science |
36,981 | Towards a Cognitive Routing Engine for Software Defined Networks | cs.NI | Most Software Defined Networks (SDN) traffic engineering applications use
excessive and frequent global monitoring in order to find the optimal
Quality-of-Service (QoS) paths for the current state of the network. In this
work, we present the motivations, architecture and initial evaluation of a SDN
application called C... | computer science |
36,982 | Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
One-Class Collaborative Filtering | cs.AI | Building a successful recommender system depends on understanding both the
dimensions of people's preferences as well as their dynamics. In certain
domains, such as fashion, modeling such preferences can be incredibly
difficult, due to the need to simultaneously model the visual appearance of
products as well as their ... | computer science |
36,983 | Formal Verification of Autonomous Vehicle Platooning | cs.AI | The coordination of multiple autonomous vehicles into convoys or platoons is
expected on our highways in the near future. However, before such platoons can
be deployed, the new autonomous behaviors of the vehicles in these platoons
must be certified. An appropriate representation for vehicle platooning is as a
multi-ag... | computer science |
36,984 | Particle Swarm Optimized Power Consumption of Trilateration | cs.NI | Trilateration-based localization (TBL) has become a corner stone of modern
technology. This study formulates the concern on how wireless sensor networks
can take advantage of the computational intelligent techniques using both
single- and multi-objective particle swarm optimization (PSO) with an overall
aim of concurre... | computer science |
36,985 | Strategic disclosure of opinions on a social network | cs.GT | We study the strategic aspects of social influence in a society of agents
linked by a trust network, introducing a new class of games called games of
influence. A game of influence is an infinite repeated game with incomplete
information in which, at each stage of interaction, an agent can make her
opinions visible (pu... | computer science |
36,986 | Feature Based Task Recommendation in Crowdsourcing with Implicit
Observations | cs.AI | Existing research in crowdsourcing has investigated how to recommend tasks to
workers based on which task the workers have already completed, referred to as
{\em implicit feedback}. We, on the other hand, investigate the task
recommendation problem, where we leverage both implicit feedback and explicit
features of the ... | computer science |
36,987 | Energetics of the brain and AI | cs.AI | Does the energy requirements for the human brain give energy constraints that
give reason to doubt the feasibility of artificial intelligence? This report
will review some relevant estimates of brain bioenergetics and analyze some of
the methods of estimating brain emulation energy requirements. Turning to AI,
there ar... | computer science |
36,988 | Identifying Diabetic Patients with High Risk of Readmission | cs.AI | Hospital readmissions are expensive and reflect the inadequacies in
healthcare system. In the United States alone, treatment of readmitted diabetic
patients exceeds 250 million dollars per year. Early identification of patients
facing a high risk of readmission can enable healthcare providers to to conduct
additional i... | computer science |
36,989 | Designing Intelligent Instruments | cs.AI | Remote science operations require automated systems that can both act and
react with minimal human intervention. One such vision is that of an
intelligent instrument that collects data in an automated fashion, and based on
what it learns, decides which new measurements to take. This innovation
implements experimental d... | computer science |
36,990 | Large-Scale Reasoning with OWL | cs.AI | With the growth of the Semantic Web in size and importance, more and more
knowledge is stored in machine-readable formats such as the Web Ontology
Language OWL. This paper outlines common approaches for efficient reasoning on
large-scale data consisting of billions ($10^9$) of triples. Therefore, OWL and
its sublanguag... | computer science |
36,991 | BioSpaun: A large-scale behaving brain model with complex neurons | cs.AI | We describe a large-scale functional brain model that includes detailed,
conductance-based, compartmental models of individual neurons. We call the
model BioSpaun, to indicate the increased biological plausibility of these
neurons, and because it is a direct extension of the Spaun model
\cite{Eliasmith2012b}. We demons... | computer science |
36,992 | Lexis: An Optimization Framework for Discovering the Hierarchical
Structure of Sequential Data | cs.AI | Data represented as strings abounds in biology, linguistics, document mining,
web search and many other fields. Such data often have a hierarchical
structure, either because they were artificially designed and composed in a
hierarchical manner or because there is an underlying evolutionary process that
creates repeated... | computer science |
36,993 | Ordonnancement d'entités pour la rencontre du web des documents et du
web des données | cs.IR | The advances of the Linked Open Data (LOD) initiative are giving rise to a
more structured web of data. Indeed, a few datasets act as hubs (e.g., DBpedia)
connecting many other datasets. They also made possible new web services for
entity detection inside plain text (e.g., DBpedia Spotlight), thus allowing for
new appl... | computer science |
36,994 | Distributed Constraint Optimization Problems and Applications: A Survey | cs.AI | The field of Multi-Agent System (MAS) is an active area of research within
Artificial Intelligence, with an increasingly important impact in industrial
and other real-world applications. Within a MAS, autonomous agents interact to
pursue personal interests and/or to achieve common objectives. Distributed
Constraint Opt... | computer science |
36,995 | Causes for Query Answers from Databases, Datalog Abduction and
View-Updates: The Presence of Integrity Constraints | cs.DB | Causality has been recently introduced in databases, to model, characterize
and possibly compute causes for query results (answers). Connections between
queryanswer causality, consistency-based diagnosis, database repairs (wrt.
integrity constraint violations), abductive diagnosis and the view-update
problem have been ... | computer science |
36,996 | Social planning for social HRI | cs.RO | Making a computational agent 'social' has implications for how it perceives
itself and the environment in which it is situated, including the ability to
recognise the behaviours of others. We point to recent work on social planning,
i.e. planning in settings where the social context is relevant in the
assessment of the... | computer science |
36,997 | Enablers and Inhibitors in Causal Justifications of Logic Programs | cs.LO | To appear in Theory and Practice of Logic Programming (TPLP). In this paper
we propose an extension of logic programming (LP) where each default literal
derived from the well-founded model is associated to a justification
represented as an algebraic expression. This expression contains both causal
explanations (in the ... | computer science |
36,998 | Unbounded Human Learning: Optimal Scheduling for Spaced Repetition | cs.AI | In the study of human learning, there is broad evidence that our ability to
retain information improves with repeated exposure and decays with delay since
last exposure. This plays a crucial role in the design of educational software,
leading to a trade-off between teaching new material and reviewing what has
already b... | computer science |
36,999 | SIFT: An Algorithm for Extracting Structural Information From Taxonomies | cs.DB | In this work we present SIFT, a 3-step algorithm for the analysis of the
structural information represented by means of a taxonomy. The major advantage
of this algorithm is the capability to leverage the information inherent to the
hierarchical structures of taxonomies to infer correspondences which can allow
to merge ... | computer science |
37,000 | The Possibilities and Limitations of Private Prediction Markets | cs.GT | We consider the design of private prediction markets, financial markets
designed to elicit predictions about uncertain events without revealing too
much information about market participants' actions or beliefs. Our goal is to
design market mechanisms in which participants' trades or wagers influence the
market's behav... | computer science |
37,001 | Parametric Prediction from Parametric Agents | cs.GT | We consider a problem of prediction based on opinions elicited from
heterogeneous rational agents with private information. Making an accurate
prediction with a minimal cost requires a joint design of the incentive
mechanism and the prediction algorithm. Such a problem lies at the nexus of
statistical learning theory a... | computer science |
37,002 | A Survey on Domain-Specific Languages for Machine Learning in Big Data | cs.SE | The amount of data generated in the modern society is increasing rapidly. New
problems and novel approaches of data capture, storage, analysis and
visualization are responsible for the emergence of the Big Data research field.
Machine Learning algorithms can be used in Big Data to make better and more
accurate inferenc... | computer science |
37,003 | Range-based argumentation semantics as 2-valued models | cs.LO | Characterizations of semi-stable and stage extensions in terms of 2-valued
logical models are presented. To this end, the so-called GL-supported and
GL-stage models are defined. These two classes of logical models are logic
programming counterparts of the notion of range which is an established concept
in argumentation... | computer science |
37,004 | Object Manipulation Learning by Imitation | cs.RO | We aim to enable robot to learn object manipulation by imitation. Given
external observations of demonstrations on object manipulations, we believe
that two underlying problems to address in learning by imitation is 1) segment
a given demonstration into skills that can be individually learned and reused,
and 2) formula... | computer science |
37,005 | A knowledge representation meta-model for rule-based modelling of
signalling networks | cs.AI | The study of cellular signalling pathways and their deregulation in disease
states, such as cancer, is a large and extremely complex task. Indeed, these
systems involve many parts and processes but are studied piecewise and their
literatures and data are consequently fragmented, distributed and sometimes--at
least appa... | computer science |
37,006 | FLICA: A Framework for Leader Identification in Coordinated Activity | cs.SI | Leadership is an important aspect of social organization that affects the
processes of group formation, coordination, and decision-making in human
societies, as well as in the social system of many other animal species. The
ability to identify leaders based on their behavior and the subsequent
reactions of others opens... | computer science |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.