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Title: P-values for classification |
Abstract: Let $(X,Y)$ be a random variable consisting of an observed feature vector $X\in $ and an unobserved class label $Y\in \1,2,...,L\$ with unknown joint distribution. In addition, let $$ be a training data set consisting of $n$ completely observed independent copies of $(X,Y)$. Usual classification procedures pr... |
Title: Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes |
Abstract: This study analyzes performance of several genetic and evolutionary algorithms on randomly generated NK fitness landscapes with various values of n and k. A large number of NK problem instances are first generated for each n and k, and the global optimum of each instance is obtained using the branch-and-bound... |
Title: iBOA: The Incremental Bayesian Optimization Algorithm |
Abstract: This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of the Bayesian network. iBOA is shown to be able to learn and exploit unrestricted Bayesian networks using incremental techniques for u... |
Title: From k-SAT to k-CSP: Two Generalized Algorithms |
Abstract: Constraint satisfaction problems (CSPs) models many important intractable NP-hard problems such as propositional satisfiability problem (SAT). Algorithms with non-trivial upper bounds on running time for restricted SAT with bounded clause length k (k-SAT) can be classified into three styles: DPLL-like, PPSZ-l... |
Title: Online-concordance "Perekhresni stezhky" ("The Cross-Paths"), a novel by Ivan Franko |
Abstract: In the article, theoretical principles and practical realization for the compilation of the concordance to "Perekhresni stezhky" ("The Cross-Paths"), a novel by Ivan Franko, are described. Two forms for the context presentation are proposed. The electronic version of this lexicographic work is available onlin... |
Title: On the condensed density of the generalized eigenvalues of pencils of Hankel Gaussian random matrices and applications |
Abstract: Pencils of Hankel matrices whose elements have a joint Gaussian distribution with nonzero mean and not identical covariance are considered. An approximation to the distribution of the squared modulus of their determinant is computed which allows to get a closed form approximation of the condensed density of t... |
Title: Bayesian models to adjust for response bias in survey data for estimating rape and domestic violence rates from the NCVS |
Abstract: It is difficult to accurately estimate the rates of rape and domestic violence due to the sensitive nature of these crimes. There is evidence that bias in estimating the crime rates from survey data may arise because some women respondents are "gagged" in reporting some types of crimes by the use of a telepho... |
Title: On some difficulties with a posterior probability approximation technique |
Abstract: In Scott (2002) and Congdon (2006), a new method is advanced to compute posterior probabilities of models under consideration. It is based solely on MCMC outputs restricted to single models, i.e., it is bypassing reversible jump and other model exploration techniques. While it is indeed possible to approximat... |
Title: On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems |
Abstract: It has previously been shown that a recommender based on immune system idiotypic principles can out perform one based on correlation alone. This paper reports the results of work in progress, where we undertake some investigations into the nature of this beneficial effect. The initial findings are that the im... |
Title: A Recommender System based on the Immune Network |
Abstract: The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an artificial immune system (AIS) that exploits some of these characteristics and is applied to the task of film recommendation by collaborative filtering (CF). Natural evolutio... |
Title: The Danger Theory and Its Application to Artificial Immune Systems |
Abstract: Over the last decade, a new idea challenging the classical self-non-self viewpoint has become popular amongst immunologists. It is called the Danger Theory. In this conceptual paper, we look at this theory from the perspective of Artificial Immune System practitioners. An overview of the Danger Theory is pres... |
Title: Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm |
Abstract: This paper combines the idea of a hierarchical distributed genetic algorithm with different inter-agent partnering strategies. Cascading clusters of sub-populations are built from bottom up, with higher-level sub-populations optimising larger parts of the problem. Hence higher-level sub-populations search a l... |
Title: A statistical analysis of probabilistic counting algorithms |
Abstract: This paper considers the problem of cardinality estimation in data stream applications. We present a statistical analysis of probabilistic counting algorithms, focusing on two techniques that use pseudo-random variates to form low-dimensional data sketches. We apply conventional statistical methods to compare... |
Title: Efficient l_alpha Distance Approximation for High Dimensional Data Using alpha-Stable Projection |
Abstract: In recent years, large high-dimensional data sets have become commonplace in a wide range of applications in science and commerce. Techniques for dimension reduction are of primary concern in statistical analysis. Projection methods play an important role. We investigate the use of projection algorithms that ... |
Title: A path following algorithm for the graph matching problem |
Abstract: We propose a convex-concave programming approach for the labeled weighted graph matching problem. The convex-concave programming formulation is obtained by rewriting the weighted graph matching problem as a least-square problem on the set of permutation matrices and relaxing it to two different optimization p... |
Title: Higher Accuracy for Bayesian and Frequentist Inference: Large Sample Theory for Small Sample Likelihood |
Abstract: Recent likelihood theory produces $p$-values that have remarkable accuracy and wide applicability. The calculations use familiar tools such as maximum likelihood values (MLEs), observed information and parameter rescaling. The usual evaluation of such $p$-values is by simulations, and such simulations do veri... |
Title: Robustness Evaluation of Two CCG, a PCFG and a Link Grammar Parsers |
Abstract: Robustness in a parser refers to an ability to deal with exceptional phenomena. A parser is robust if it deals with phenomena outside its normal range of inputs. This paper reports on a series of robustness evaluations of state-of-the-art parsers in which we concentrated on one aspect of robustness: its abili... |
Title: Between conjecture and memento: shaping a collective emotional perception of the future |
Abstract: Large scale surveys of public mood are costly and often impractical to perform. However, the web is awash with material indicative of public mood such as blogs, emails, and web queries. Inexpensive content analysis on such extensive corpora can be used to assess public mood fluctuations. The work presented he... |
Title: On the Scaling Window of Model RB |
Abstract: This paper analyzes the scaling window of a random CSP model (i.e. model RB) for which we can identify the threshold points exactly, denoted by $r_cr$ or $p_cr$. For this model, we establish the scaling window $W(n,\delta)=(r_-(n,\delta), r_+(n,\delta))$ such that the probability of a random instance being sa... |
Title: Properties of Nested Sampling |
Abstract: Nested sampling is a simulation method for approximating marginal likelihoods proposed by Skilling (2006). We establish that nested sampling has an approximation error that vanishes at the standard Monte Carlo rate and that this error is asymptotically Gaussian. We show that the asymptotic variance of the nes... |
Title: A Tribute to Ingram Olkin |
Abstract: It is with pleasure and pride that I introduce this special section in honor of Ingram Olkin. This tribute is especially fitting because, among the many profound and far-reaching contributions that he has made to our profession, Ingram Olkin was the key force behind the genesis of Statistical Science. As put ... |
Title: The optimal assignment kernel is not positive definite |
Abstract: We prove that the optimal assignment kernel, proposed recently as an attempt to embed labeled graphs and more generally tuples of basic data to a Hilbert space, is in fact not always positive definite. |
Title: A Semi-parametric Technique for the Quantitative Analysis of Dynamic Contrast-enhanced MR Images Based on Bayesian P-splines |
Abstract: Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) is an important tool for detecting subtle kinetic changes in cancerous tissue. Quantitative analysis of DCE-MRI typically involves the convolution of an arterial input function (AIF) with a nonlinear pharmacokinetic model of the contrast agent con... |
Title: Computational aspects and applications of a new transform for solving the complex exponentials approximation problem |
Abstract: Many real life problems can be reduced to the solution of a complex exponentials approximation problem which is usually ill posed. Recently a new transform for solving this problem, formulated as a specific moments problem in the plane, has been proposed in a theoretical framework. In this work some computati... |
Title: Multivariate Meta-Analysis: Contributions of Ingram Olkin |
Abstract: The research on meta-analysis and particularly multivariate meta-analysis has been greatly influenced by the work of Ingram Olkin. This paper documents Olkin's contributions by way of citation counts and outlines several areas of contribution by Olkin and his academic descendants. An academic family tree is p... |
Title: Majorization: Here, There and Everywhere |
Abstract: The appearance of Marshall and Olkin's 1979 book on inequalities with special emphasis on majorization generated a surge of interest in potential applications of majorization and Schur convexity in a broad spectrum of fields. After 25 years this continues to be the case. The present article presents a samplin... |
Title: Generalization of Jeffreys' divergence based priors for Bayesian hypothesis testing |
Abstract: In this paper we introduce objective proper prior distributions for hypothesis testing and model selection based on measures of divergence between the competing models; we call them divergence based (DB) priors. DB priors have simple forms and desirable properties, like information (finite sample) consistency... |
Title: A.-M. Guerry's Moral Statistics of France: Challenges for Multivariable Spatial Analysis |
Abstract: Andr\'e-Michel Guerry's (1833) Essai sur la Statistique Morale de la France was one of the foundation studies of modern social science. Guerry assembled data on crimes, suicides, literacy and other ``moral statistics,'' and used tables and maps to analyze a variety of social issues in perhaps the first compre... |
Title: Movie Recommendation Systems Using An Artificial Immune System |
Abstract: We apply the Artificial Immune System (AIS) technology to the Collaborative Filtering (CF) technology when we build the movie recommendation system. Two different affinity measure algorithms of AIS, Kendall tau and Weighted Kappa, are used to calculate the correlation coefficients for this movie recommendatio... |
Title: On Affinity Measures for Artificial Immune System Movie Recommenders |
Abstract: We combine Artificial Immune Systems 'AIS', technology with Collaborative Filtering 'CF' and use it to build a movie recommendation system. We already know that Artificial Immune Systems work well as movie recommenders from previous work by Cayzer and Aickelin 3, 4, 5. Here our aim is to investigate the effec... |
Title: Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making |
Abstract: Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annealing. More recently, a novel computational intelligence technique inspired by immunology has emerged, called Artificial Immune Syst... |
Title: TER: A Robot for Remote Ultrasonic Examination: Experimental Evaluations |
Abstract: This chapter: o Motivates the clinical use of robotic tele-echography o Introduces the TER system o Describes technical and clinical evaluations performed with TER |
Title: Fully Bayes factors with a generalized g-prior |
Abstract: For the normal linear model variable selection problem, we propose selection criteria based on a fully Bayes formulation with a generalization of Zellner's $g$-prior which allows for $p>n$. A special case of the prior formulation is seen to yield tractable closed forms for marginal densities and Bayes factors... |
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