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    ESANN
    2008
    149views Neural Networks» more  ESANN 2008»
    A method for robust variable selection with significance assessment
    13 years 11 months ago
    A method for robust variable selection with significance assessment
    Download  web.mit.edu
    Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
    Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
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    SDM
    2008
    SIAM
    161views Data Mining» more  SDM 2008»
    Efficient Maximum Margin Clustering via Cutting Plane Algorithm
    13 years 11 months ago
    Efficient Maximum Margin Clustering via Cutting Plane Algorithm
    Download  siam.org
    Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
    Bin Zhao, Fei Wang, Changshui Zhang
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    NIPS
    2007
    208views Information Technology» more  NIPS 2007»
    Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
    13 years 11 months ago
    Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
    Download  books.nips.cc
    We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
    Amir Globerson, Tommi Jaakkola
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    AAAI
    2006
    199views Intelligent Agents» more  AAAI 2006»
    Decision Making in Uncertain Real-World Domains Using DT-Golog
    13 years 11 months ago
    Decision Making in Uncertain Real-World Domains Using DT-Golog
    Download  www.aaai.org
    DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
    Mikhail Soutchanski, Huy Pham, John Mylopoulos
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    NIPS
    1998
    102views Information Technology» more  NIPS 1998»
    An Entropic Estimator for Structure Discovery
    13 years 11 months ago
    An Entropic Estimator for Structure Discovery
    Download  www.merl.com
    We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
    Matthew Brand
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