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Title: Simulated annealing for weighted polygon packing |
Abstract: In this paper we present a new algorithm for a layout optimization problem: this concerns the placement of weighted polygons inside a circular container, the two objectives being to minimize imbalance of mass and to minimize the radius of the container. This problem carries real practical significance in indu... |
Title: Determining the Unithood of Word Sequences using a Probabilistic Approach |
Abstract: Most research related to unithood were conducted as part of a larger effort for the determination of termhood. Consequently, novelties are rare in this small sub-field of term extraction. In addition, existing work were mostly empirically motivated and derived. We propose a new probabilistically-derived measu... |
Title: Determining the Unithood of Word Sequences using Mutual Information and Independence Measure |
Abstract: Most works related to unithood were conducted as part of a larger effort for the determination of termhood. Consequently, the number of independent research that study the notion of unithood and produce dedicated techniques for measuring unithood is extremely small. We propose a new approach, independent of a... |
Title: Distribution of complexities in the Vai script |
Abstract: In the paper, we analyze the distribution of complexities in the Vai script, an indigenous syllabic writing system from Liberia. It is found that the uniformity hypothesis for complexities fails for this script. The models using Poisson distribution for the number of components and hyper-Poisson distribution ... |
Title: Enhanced Integrated Scoring for Cleaning Dirty Texts |
Abstract: An increasing number of approaches for ontology engineering from text are gearing towards the use of online sources such as company intranet and the World Wide Web. Despite such rise, not much work can be found in aspects of preprocessing and cleaning dirty texts from online sources. This paper presents an en... |
Title: Estimating the Parameters of Binomial and Poisson Distributions via Multistage Sampling |
Abstract: In this paper, we have developed a new class of sampling schemes for estimating parameters of binomial and Poisson distributions. Without any information of the unknown parameters, our sampling schemes rigorously guarantee prescribed levels of precision and confidence. |
Title: Three New Complexity Results for Resource Allocation Problems |
Abstract: We prove the following results for task allocation of indivisible resources: - The problem of finding a leximin-maximal resource allocation is in P if the agents have max-utility functions and atomic demands. - Deciding whether a resource allocation is Pareto-optimal is coNP-complete for agents with (1-)addit... |
Title: A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters |
Abstract: This paper proposes a hierarchical, multi-resolution framework for the identification of model parameters and their spatially variability from noisy measurements of the response or output. Such parameters are frequently encountered in PDE-based models and correspond to quantities such as density or pressure f... |
Title: A New Upper Bound on the Capacity of a Class of Primitive Relay Channels |
Abstract: We obtain a new upper bound on the capacity of a class of discrete memoryless relay channels. For this class of relay channels, the relay observes an i.i.d. sequence $T$, which is independent of the channel input $X$. The channel is described by a set of probability transition functions $p(y|x,t)$ for all $(x... |
Title: Class-Specific Tests of Spatial Segregation Based on Nearest Neighbor Contingency Tables |
Abstract: The spatial interaction between two or more classes (or species) has important consequences in many fields and might cause multivariate clustering patterns such as segregation or association. The spatial pattern of segregation occurs when members of a class tend to be found near members of the same class (i.e... |
Title: Stiffness Analysis Of Multi-Chain Parallel Robotic Systems |
Abstract: The paper presents a new stiffness modelling method for multi-chain parallel robotic manipulators with flexible links and compliant actuating joints. In contrast to other works, the method involves a FEA-based link stiffness evaluation and employs a new solution strategy of the kinetostatic equations, which a... |
Title: Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method |
Abstract: In this paper, we examine the CE method in the broad context of Monte Carlo Optimization (MCO) and Parametric Learning (PL), a type of machine learning. A well-known overarching principle used to improve the performance of many PL algorithms is the bias-variance tradeoff. This tradeoff has been used to improv... |
Title: HIV with contact-tracing: a case study in Approximate Bayesian Computation |
Abstract: Missing data is a recurrent issue in epidemiology where the infection process may be partially observed. Approximate Bayesian Computation, an alternative to data imputation methods such as Markov Chain Monte Carlo integration, is proposed for making inference in epidemiological models. It is a likelihood-free... |
Title: Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models |
Abstract: Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or super-resolution, can be addressed by maximizing the posterior distribution of a sparse linear model (SLM). We show how higher-order Bayesian decision-making problems, such as optim... |
Title: A Principal Component Analysis for Trees |
Abstract: The active field of Functional Data Analysis (about understanding the variation in a set of curves) has been recently extended to Object Oriented Data Analysis, which considers populations of more general objects. A particularly challenging extension of this set of ideas is to populations of tree-structured o... |
Title: Inference for the limiting cluster size distribution of extreme values |
Abstract: Any limiting point process for the time normalized exceedances of high levels by a stationary sequence is necessarily compound Poisson under appropriate long range dependence conditions. Typically exceedances appear in clusters. The underlying Poisson points represent the cluster positions and the multiplicit... |
Title: Generalised linear mixed model analysis via sequential Monte Carlo sampling |
Abstract: We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performing inference is often extremely difficult, even when using the Bayesian approach combined with Markov ... |
Title: On-the-fly Macros |
Abstract: We present a domain-independent algorithm that computes macros in a novel way. Our algorithm computes macros "on-the-fly" for a given set of states and does not require previously learned or inferred information, nor prior domain knowledge. The algorithm is used to define new domain-independent tractable clas... |
Title: Une grammaire formelle du cr\'eole martiniquais pour la g\'en\'eration automatique |
Abstract: In this article, some first elements of a computational modelling of the grammar of the Martiniquese French Creole dialect are presented. The sources of inspiration for the modelling is the functional description given by Damoiseau (1984), and Pinalie's & Bernabe's (1999) grammar manual. Based on earlier work... |
Title: A Layered Grammar Model: Using Tree-Adjoining Grammars to Build a Common Syntactic Kernel for Related Dialects |
Abstract: This article describes the design of a common syntactic description for the core grammar of a group of related dialects. The common description does not rely on an abstract sub-linguistic structure like a metagrammar: it consists in a single FS-LTAG where the actual specific language is included as one of the... |
Title: Analyse spectrale des textes: d\'etection automatique des fronti\`eres de langue et de discours |
Abstract: We propose a theoretical framework within which information on the vocabulary of a given corpus can be inferred on the basis of statistical information gathered on that corpus. Inferences can be made on the categories of the words in the vocabulary, and on their syntactical properties within particular langua... |
Title: Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm |
Abstract: Without prior knowledge, distinguishing different languages may be a hard task, especially when their borders are permeable. We develop an extension of spectral clustering -- a powerful unsupervised classification toolbox -- that is shown to resolve accurately the task of soft language distinction. At the hea... |
Title: Blind Cognitive MAC Protocols |
Abstract: We consider the design of cognitive Medium Access Control (MAC) protocols enabling an unlicensed (secondary) transmitter-receiver pair to communicate over the idle periods of a set of licensed channels, i.e., the primary network. The objective is to maximize data throughput while maintaining the synchronizati... |
Title: A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines |
Abstract: Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic programming problem, which is quadratic in the number of training samples. We introduce an efficient parallel implementation of an support... |
Title: A global physician-oriented medical information system |
Abstract: We propose to improve medical decision making and reduce global health care costs by employing a free Internet-based medical information system with two main target groups: practicing physicians and medical researchers. After acquiring patients' consent, physicians enter medical histories, physiological data ... |
Title: Characterizing 1-Dof Henneberg-I graphs with efficient configuration spaces |
Abstract: We define and study exact, efficient representations of realization spaces of a natural class of underconstrained 2D Euclidean Distance Constraint Systems(EDCS) or Frameworks based on 1-dof Henneberg-I graphs. Each representation corresponds to a choice of parameters and yields a different parametrized config... |
Title: A note on conditional Akaike information for Poisson regression with random effects |
Abstract: A popular model selection approach for generalized linear mixed-effects models is the Akaike information criterion, or AIC. Among others, pointed out the distinction between the marginal and conditional inference depending on the focus of research. The conditional AIC was derived for the linear mixed-effects ... |
Title: Visualization Optimization : Application to the RoboCup Rescue Domain |
Abstract: In this paper we demonstrate the use of intelligent optimization methodologies on the visualization optimization of virtual / simulated environments. The problem of automatic selection of an optimized set of views, which better describes an on-going simulation over a virtual environment is addressed in the co... |
Title: Modeling of Social Transitions Using Intelligent Systems |
Abstract: In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neruo-Fuzzy Inference System and Rough Set Theory (RST),called SONFIS and SORST. We show how our algorithms can be construed as a ... |
Title: On two-sided p-values for non-symmetric distributions |
Abstract: Two-sided statistical tests and p-values are well defined only when the test statistic in question has a symmetric distribution. A new two-sided p-value called conditional p-value $P_C$ is introduced here. It is closely related to the doubled p-value and has an intuitive appeal. Its use is advocated for both ... |
Title: Non-Negative Matrix Factorization, Convexity and Isometry |
Abstract: In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data analysis tools. We first explore the difficulties of the optimization problem underlying NMF, showing for the first time that non-... |
Title: Faster and better: a machine learning approach to corner detection |
Abstract: The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene viewed from different positions should yield features which correspond to the same real-world 3D locations [Schmid et al 2000]. The ... |
Title: Bayesian evidence for finite element model updating |
Abstract: This paper considers the problem of model selection within the context of finite element model updating. Given that a number of FEM updating models, with different updating parameters, can be designed, this paper proposes using the Bayesian evidence statistic to assess the probability of each updating model. ... |
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