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Title: Stiffness Analysis of 3-d.o.f. Overconstrained Translational Parallel Manipulators |
Abstract: The paper presents a new stiffness modelling method for overconstrained parallel manipulators, which is applied to 3-d.o.f. translational mechanisms. It is based on a multidimensional lumped-parameter model that replaces the link flexibility by localized 6-d.o.f. virtual springs. In contrast to other works, t... |
Title: Classification Constrained Dimensionality Reduction |
Abstract: Dimensionality reduction is a topic of recent interest. In this paper, we present the classification constrained dimensionality reduction (CCDR) algorithm to account for label information. The algorithm can account for multiple classes as well as the semi-supervised setting. We present an out-of-sample expres... |
Title: Tellipsoid: Exploiting inter-gene correlation for improved detection of differential gene expression |
Abstract: Motivation: Algorithms for differential analysis of microarray data are vital to modern biomedical research. Their accuracy strongly depends on effective treatment of inter-gene correlation. Correlation is ordinarily accounted for in terms of its effect on significance cut-offs. In this paper it is shown that... |
Title: Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables |
Abstract: Clustering analysis is one of the most widely used statistical tools in many emerging areas such as microarray data analysis. For microarray and other high-dimensional data, the presence of many noise variables may mask underlying clustering structures. Hence removing noise variables via variable selection is... |
Title: Design and Implementation of Aggregate Functions in the DLV System |
Abstract: Disjunctive Logic Programming (DLP) is a very expressive formalism: it allows for expressing every property of finite structures that is decidable in the complexity class SigmaP2 (= NP^NP). Despite this high expressiveness, there are some simple properties, often arising in real-world applications, which cann... |
Title: Testing the number of parameters with multidimensional MLP |
Abstract: This work concerns testing the number of parameters in one hidden layer multilayer perceptron (MLP). For this purpose we assume that we have identifiable models, up to a finite group of transformations on the weights, this is for example the case when the number of hidden units is know. In this framework, we ... |
Title: Efficient Estimation of Multidimensional Regression Model with Multilayer Perceptron |
Abstract: This work concerns estimation of multidimensional nonlinear regression models using multilayer perceptron (MLP). The main problem with such model is that we have to know the covariance matrix of the noise to get optimal estimator. however we show that, if we choose as cost function the logarithm of the determ... |
Title: Estimation of linear autoregressive models with Markov-switching, the E.M. algorithm revisited |
Abstract: This work concerns estimation of linear autoregressive models with Markov-switching using expectation maximisation (E.M.) algorithm. Our method generalise the method introduced by Elliot for general hidden Markov models and avoid to use backward recursion. |
Title: Self Organizing Map algorithm and distortion measure |
Abstract: We study the statistical meaning of the minimization of distortion measure and the relation between the equilibrium points of the SOM algorithm and the minima of distortion measure. If we assume that the observations and the map lie in an compact Euclidean space, we prove the strong consistency of the map whi... |
Title: Characterization of the convergence of stationary Fokker-Planck learning |
Abstract: The convergence properties of the stationary Fokker-Planck algorithm for the estimation of the asymptotic density of stochastic search processes is studied. Theoretical and empirical arguments for the characterization of convergence of the estimation in the case of separable and nonseparable nonlinear optimiz... |
Title: Adaptive Confidence Sets for the Optimal Approximating Model |
Abstract: In the setting of high-dimensional linear models with Gaussian noise, we investigate the possibility of confidence statements connected to model selection. Although there exist numerous procedures for adaptive point estimation, the construction of adaptive confidence regions is severely limited (cf. Li, 1989)... |
Title: Some Aspects of Testing Process for Transport Streams in Digital Video Broadcasting |
Abstract: This paper presents some aspects related to the DVB (Digital Video Broadcasting) investigation. The basic aspects of DVB are presented, with an emphasis on DVB-T version of standard. The main purpose of this research is to analyze the way that the transmission of the transport streams is realized in case of t... |
Title: Implementing a Test Strategy for an Advanced Video Acquisition and Processing Architecture |
Abstract: This paper presents some aspects related to test process of an advanced video system used in remote IP surveillance. The system is based on a Pentium compatible architecture using the industrial standard PC104+. First the overall architecture of the system is presented, involving both hardware or software asp... |
Title: Use of Rapid Probabilistic Argumentation for Ranking on Large Complex Networks |
Abstract: We introduce a family of novel ranking algorithms called ERank which run in linear/near linear time and build on explicitly modeling a network as uncertain evidence. The model uses Probabilistic Argumentation Systems (PAS) which are a combination of probability theory and propositional logic, and also a speci... |
Title: Evaluation and selection of models for out-of-sample prediction when the sample size is small relative to the complexity of the data-generating process |
Abstract: In regression with random design, we study the problem of selecting a model that performs well for out-of-sample prediction. We do not assume that any of the candidate models under consideration are correct. Our analysis is based on explicit finite-sample results. Our main findings differ from those of other ... |
Title: A Universal In-Place Reconfiguration Algorithm for Sliding Cube-Shaped Robots in a Quadratic Number of Moves |
Abstract: In the modular robot reconfiguration problem, we are given $n$ cube-shaped modules (or robots) as well as two configurations, i.e., placements of the $n$ modules so that their union is face-connected. The goal is to find a sequence of moves that reconfigures the modules from one configuration to the other usi... |
Title: A Truncation Approach for Fast Computation of Distribution Functions |
Abstract: In this paper, we propose a general approach for improving the efficiency of computing distribution functions. The idea is to truncate the domain of summation or integration. |
Title: Estimating Traffic Parameters with Rigorous Error Control |
Abstract: To perform a queuing analysis or design in a communications context, we need to estimate the values of the input parameters, specifically the mean of the arrival rate and service time. In this paper, we propose an approach for estimating the arrival rate of Poisson processes and the average service time for s... |
Title: Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading |
Abstract: We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective approach compared to the classification of individual sizes and shapes. While a dominant (additive, stationary) Gaussian noise com... |
Title: Interval Estimation of Bounded Variable Means via Inverse Sampling |
Abstract: In this paper, we develop interval estimation methods for means of bounded random variables based on a sequential procedure such that the sampling is continued until the sample sum is no less than a prescribed threshold. |
Title: Processing Information in Quantum Decision Theory |
Abstract: A survey is given summarizing the state of the art of describing information processing in Quantum Decision Theory, which has been recently advanced as a novel variant of decision making, based on the mathematical theory of separable Hilbert spaces. This mathematical structure captures the effect of superposi... |
Title: On variance stabilisation by double Rao-Blackwellisation |
Abstract: Population Monte Carlo has been introduced as a sequential importance sampling technique to overcome poor fit of the importance function. In this paper, we compare the performances of the original Population Monte Carlo algorithm with a modified version that eliminates the influence of the transition particle... |
Title: Knowledge Technologies |
Abstract: Several technologies are emerging that provide new ways to capture, store, present and use knowledge. This book is the first to provide a comprehensive introduction to five of the most important of these technologies: Knowledge Engineering, Knowledge Based Engineering, Knowledge Webs, Ontologies and Semantic ... |
Title: Belief Propagation and Loop Series on Planar Graphs |
Abstract: We discuss a generic model of Bayesian inference with binary variables defined on edges of a planar graph. The Loop Calculus approach of [1, 2] is used to evaluate the resulting series expansion for the partition function. We show that, for planar graphs, truncating the series at single-connected loops reduce... |
Title: Brain architecture: A design for natural computation |
Abstract: Fifty years ago, John von Neumann compared the architecture of the brain with that of computers that he invented and which is still in use today. In those days, the organisation of computers was based on concepts of brain organisation. Here, we give an update on current results on the global organisation of n... |
Title: Hubs in Languages: Scale Free Networks of Synonyms |
Abstract: Natural languages are described in this paper in terms of networks of synonyms: a word is identified with a node, and synonyms are connected by undirected links. Our statistical analysis of the network of synonyms in Polish language showed it is scale-free; similar to what is known for English. The statistica... |
Title: Bayesian Estimation of Inequalities with Non-Rectangular Censored Survey Data |
Abstract: Synthetic indices are used in Economics to measure various aspects of monetary inequalities. These scalar indices take as input the distribution over a finite population, for example the population of a specific country. In this article we consider the case of the French 2004 Wealth survey. We have at hand a ... |
Title: Some properties of the Ukrainian writing system |
Abstract: We investigate the grapheme-phoneme relation in Ukrainian and some properties of the Ukrainian version of the Cyrillic alphabet. |
Title: Equilibrium (Zipf) and Dynamic (Grasseberg-Procaccia) method based analyses of human texts. A comparison of natural (english) and artificial (esperanto) languages |
Abstract: A comparison of two english texts from Lewis Carroll, one (Alice in wonderland), also translated into esperanto, the other (Through a looking glass) are discussed in order to observe whether natural and artificial languages significantly differ from each other. One dimensional time series like signals are con... |
Title: The Generation of Textual Entailment with NLML in an Intelligent Dialogue system for Language Learning CSIEC |
Abstract: This research report introduces the generation of textual entailment within the project CSIEC (Computer Simulation in Educational Communication), an interactive web-based human-computer dialogue system with natural language for English instruction. The generation of textual entailment (GTE) is critical to the... |
Title: Automated Termination Proofs for Logic Programs by Term Rewriting |
Abstract: There are two kinds of approaches for termination analysis of logic programs: "transformational" and "direct" ones. Direct approaches prove termination directly on the basis of the logic program. Transformational approaches transform a logic program into a term rewrite system (TRS) and then analyze terminatio... |
Title: Adaptive methods for sequential importance sampling with application to state space models |
Abstract: In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on criteria evaluating the quality of the proposed particles. The choice of the proposal distribution is a major concern and can dramatically influence the quality of the es... |
Title: Polynomial time algorithms for bi-criteria, multi-objective and ratio problems in clustering and imaging. Part I: Normalized cut and ratio regions |
Abstract: Partitioning and grouping of similar objects plays a fundamental role in image segmentation and in clustering problems. In such problems a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time another goal is to have each group distinctly dissimilar fro... |
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