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    IJCNN
    2000
    IEEE
    134views Neural Networks» more  IJCNN 2000»
    Supervised Scaled Regression Clustering: An Alternative to Neural Networks
    13 years 9 months ago
    Supervised Scaled Regression Clustering: An Alternative to Neural Networks
    Download  www.rpi.edu
    : This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
    Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
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    IJAR
    2008
    161views more  IJAR 2008»
    Bayesian learning for a class of priors with prescribed marginals
    13 years 5 months ago
    Bayesian learning for a class of priors with prescribed marginals
    Download  www.stat.uni-muenchen.de
    We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
    Hermann Held, Thomas Augustin, Elmar Kriegler
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    CVIU
    2007
    193views more  CVIU 2007»
    Interpretation of complex scenes using dynamic tree-structure Bayesian networks
    13 years 5 months ago
    Interpretation of complex scenes using dynamic tree-structure Bayesian networks
    Download  web.engr.oregonstate.edu
    This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
    Sinisa Todorovic, Michael C. Nechyba
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    AI
    2000
    Springer
    154views Artificial Intelligence» more  AI 2000»
    Stochastic dynamic programming with factored representations
    13 years 5 months ago
    Stochastic dynamic programming with factored representations
    Download  www.cs.tufts.edu
    Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
    Craig Boutilier, Richard Dearden, Moisés Go...
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 9 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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