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Title: Application of Data Mining to Network Intrusion Detection: Classifier Selection Model |
Abstract: As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the network. Due to large volumes of security audit data as well as complex and dynamic properties of intrusion behaviors, optimizing perfo... |
Title: How to Maximize User Satisfaction Degree in Multi-service IP Networks |
Abstract: Bandwidth allocation is a fundamental problem in communication networks. With current network moving towards the Future Internet model, the problem is further intensified as network traffic demanding far from exceeds network bandwidth capability. Maintaining a certain user satisfaction degree therefore become... |
Title: A note on sample complexity of learning binary output neural networks under fixed input distributions |
Abstract: We show that the learning sample complexity of a sigmoidal neural network constructed by Sontag (1992) required to achieve a given misclassification error under a fixed purely atomic distribution can grow arbitrarily fast: for any prescribed rate of growth there is an input distribution having this rate as th... |
Title: Multi-environment model estimation for motility analysis of Caenorhabditis Elegans |
Abstract: The nematode Caenorhabditis elegans is a well-known model organism used to investigate fundamental questions in biology. Motility assays of this small roundworm are designed to study the relationships between genes and behavior. Commonly, motility analysis is used to classify nematode movements and characteri... |
Title: Improved RANSAC performance using simple, iterative minimal-set solvers |
Abstract: RANSAC is a popular technique for estimating model parameters in the presence of outliers. The best speed is achieved when the minimum possible number of points is used to estimate hypotheses for the model. Many useful problems can be represented using polynomial constraints (for instance, the determinant of ... |
Title: Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism |
Abstract: Testing for the significance of a subset of regression coefficients in a linear model, a staple of statistical analysis, goes back at least to the work of Fisher who introduced the analysis of variance (ANOVA). We study this problem under the assumption that the coefficient vector is sparse, a common situatio... |
Title: Spectral clustering and the high-dimensional stochastic blockmodel |
Abstract: Networks or graphs can easily represent a diverse set of data sources that are characterized by interacting units or actors. Social networks, representing people who communicate with each other, are one example. Communities or clusters of highly connected actors form an essential feature in the structure of s... |
Title: A Study on the Effectiveness of Different Patch Size and Shape for Eyes and Mouth Detection |
Abstract: Template matching is one of the simplest methods used for eyes and mouth detection. However, it can be modified and extended to become a powerful tool. Since the patch itself plays a significant role in optimizing detection performance, a study on the influence of patch size and shape is carried out. The opti... |
Title: An svm multiclassifier approach to land cover mapping |
Abstract: From the advent of the application of satellite imagery to land cover mapping, one of the growing areas of research interest has been in the area of image classification. Image classifiers are algorithms used to extract land cover information from satellite imagery. Most of the initial research has focussed o... |
Title: Reinforcement Learning via AIXI Approximation |
Abstract: This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian optimality notion for general reinforcement learning agents. Previously, it has been unclear whether the theory of AIXI could moti... |
Title: Consistency of Feature Markov Processes |
Abstract: We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed to summarize useful information from the history. We want a method that is asymptotically consistent in the sense it will provably e... |
Title: Optimal Path Planning under Temporal Logic Constraints |
Abstract: In this paper we present a method for automatically generating optimal robot trajectories satisfying high level mission specifications. The motion of the robot in the environment is modeled as a general transition system, enhanced with weighted transitions. The mission is specified by a general linear tempora... |
Title: Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards |
Abstract: We consider the classical multi-armed bandit problem with Markovian rewards. When played an arm changes its state in a Markovian fashion while it remains frozen when not played. The player receives a state-dependent reward each time it plays an arm. The number of states and the state transition probabilities ... |
Title: A Note on Semantic Web Services Specification and Composition in Constructive Description Logics |
Abstract: The idea of the Semantic Web is to annotate Web content and services with computer interpretable descriptions with the aim to automatize many tasks currently performed by human users. In the context of Web services, one of the most interesting tasks is their composition. In this paper we formalize this proble... |
Title: MM Algorithms for Geometric and Signomial Programming |
Abstract: This paper derives new algorithms for signomial programming, a generalization of geometric programming. The algorithms are based on a generic principle for optimization called the MM algorithm. In this setting, one can apply the geometric-arithmetic mean inequality and a supporting hyperplane inequality to cr... |
Title: Neural Network Based Reconstruction of a 3D Object from a 2D Wireframe |
Abstract: We propose a new approach for constructing a 3D representation from a 2D wireframe drawing. A drawing is simply a parallel projection of a 3D object onto a 2D surface; humans are able to recreate mental 3D models from 2D representations very easily, yet the process is very difficult to emulate computationally... |
Title: A Brief Introduction to Temporality and Causality |
Abstract: Causality is a non-obvious concept that is often considered to be related to temporality. In this paper we present a number of past and present approaches to the definition of temporality and causality from philosophical, physical, and computational points of view. We note that time is an important ingredient... |
Title: Directional Statistics on Permutations |
Abstract: Distributions over permutations arise in applications ranging from multi-object tracking to ranking of instances. The difficulty of dealing with these distributions is caused by the size of their domain, which is factorial in the number of considered entities ($n!$). It makes the direct definition of a multin... |
Title: A general method for deciding about logically constrained issues |
Abstract: A general method is given for revising degrees of belief and arriving at consistent decisions about a system of logically constrained issues. In contrast to other works about belief revision, here the constraints are assumed to be fixed. The method has two variants, dual of each other, whose revised degrees o... |
Title: An Algorithm for Learning the Essential Graph |
Abstract: This article presents an algorithm for learning the essential graph of a Bayesian network. The basis of the algorithm is the Maximum Minimum Parents and Children algorithm developed by previous authors, with three substantial modifications. The MMPC algorithm is the first stage of the Maximum Minimum Hill Cli... |
Title: The Spread of Evidence-Poor Medicine via Flawed Social-Network Analysis |
Abstract: The chronic widespread misuse of statistics is usually inadvertent, not intentional. We find cautionary examples in a series of recent papers by Christakis and Fowler that advance statistical arguments for the transmission via social networks of various personal characteristics, including obesity, smoking ces... |
Title: A Machine Learning Approach to Recovery of Scene Geometry from Images |
Abstract: Recovering the 3D structure of the scene from images yields useful information for tasks such as shape and scene recognition, object detection, or motion planning and object grasping in robotics. In this thesis, we introduce a general machine learning approach called unsupervised CRF learning based on maximiz... |
Title: The Gap Dimension and Uniform Laws of Large Numbers for Ergodic Processes |
Abstract: Let F be a family of Borel measurable functions on a complete separable metric space. The gap (or fat-shattering) dimension of F is a combinatorial quantity that measures the extent to which functions f in F can separate finite sets of points at a predefined resolution gamma > 0. We establish a connection bet... |
Title: Reduced Rank Vector Generalized Linear Models for Feature Extraction |
Abstract: Supervised linear feature extraction can be achieved by fitting a reduced rank multivariate model. This paper studies rank penalized and rank constrained vector generalized linear models. From the perspective of thresholding rules, we build a framework for fitting singular value penalized models and use it fo... |
Title: Logic-Based Decision Support for Strategic Environmental Assessment |
Abstract: Strategic Environmental Assessment is a procedure aimed at introducing systematic assessment of the environmental effects of plans and programs. This procedure is based on the so-called coaxial matrices that define dependencies between plan activities (infrastructures, plants, resource extractions, buildings,... |
Title: Toward improving the quality of doctoral education: A focus on statistics, research methods, and dissertation supervision |
Abstract: Doctoral education (PhD) in the USA has long been characterized as being in a crisis, yet empirical research to identify possible determinants is limited, in particular, faculty competence has received only scant research attention. This study ascertained from students, faculty and consultants, their concerns... |
Title: Reflection on Training, Experience, and Introductory Statistics: A Mini-Survey of Tertiary Level Statistics Instructors |
Abstract: Instructors of statistics who teach non-statistics majors possess varied academic backgrounds, and hence it is reasonable to expect variability in their content knowledge, and pedagogical approach. The aim of this study was to determine the specific course(s) that contributed mostly to instructors' understand... |
Title: Testing and Debugging Techniques for Answer Set Solver Development |
Abstract: This paper develops automated testing and debugging techniques for answer set solver development. We describe a flexible grammar-based black-box ASP fuzz testing tool which is able to reveal various defects such as unsound and incomplete behavior, i.e. invalid answer sets and inability to find existing soluti... |
Title: Exponential Random Graph Modeling for Complex Brain Networks |
Abstract: Exponential random graph models (ERGMs), also known as p* models, have been utilized extensively in the social science literature to study complex networks and how their global structure depends on underlying structural components. However, the literature on their use in biological networks (especially brain ... |
Title: Distinguishing Fact from Fiction: Pattern Recognition in Texts Using Complex Networks |
Abstract: We establish concrete mathematical criteria to distinguish between different kinds of written storytelling, fictional and non-fictional. Specifically, we constructed a semantic network from both novels and news stories, with $N$ independent words as vertices or nodes, and edges or links allotted to words occu... |
Title: Nonparametric quantile regression for twice censored data |
Abstract: We consider the problem of nonparametric quantile regression for twice censored data. Two new estimates are presented, which are constructed by applying concepts of monotone rearrangements to estimates of the conditional distribution function. The proposed methods avoid the problem of crossing quantile curves... |
Title: Bacterial Community Reconstruction Using A Single Sequencing Reaction |
Abstract: Bacteria are the unseen majority on our planet, with millions of species and comprising most of the living protoplasm. While current methods enable in-depth study of a small number of communities, a simple tool for breadth studies of bacterial population composition in a large number of samples is lacking. We... |
Title: Query-driven Procedures for Hybrid MKNF Knowledge Bases |
Abstract: Hybrid MKNF knowledge bases are one of the most prominent tightly integrated combinations of open-world ontology languages with closed-world (non-monotonic) rule paradigms. The definition of Hybrid MKNF is parametric on the description logic (DL) underlying the ontology language, in the sense that non-monoton... |
Title: Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction |
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