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    ECML
    1993
    Springer
    118views Machine Learning» more  ECML 1993»
    Exploiting Context When Learning to Classify
    13 years 11 months ago
    Exploiting Context When Learning to Classify
    Download  cogprints.org
    This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
    Peter D. Turney
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    ECAI
    2008
    Springer
    127views Artificial Intelligence» more  ECAI 2008»
    Reinforcement Learning with Classifier Selection for Focused Crawling
    13 years 9 months ago
    Reinforcement Learning with Classifier Selection for Focused Crawling
    Download  users.auth.gr
    Focused crawlers are programs that wander in the Web, using its graph structure, and gather pages that belong to a specific topic. The most critical task in Focused Crawling is the...
    Ioannis Partalas, Georgios Paliouras, Ioannis P. V...
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    EUSFLAT
    2009
    152views Fuzzy Logic» more  EUSFLAT 2009»
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
    13 years 5 months ago
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
    Download  www.eusflat.org
    -- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
    Vinicius da F. Vieira, Alexandre Evsukoff, Beatriz...
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    ICDAR
    2009
    IEEE
    219views Document Analysis» more  ICDAR 2009»
    Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
    13 years 5 months ago
    Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
    Download  www.cvc.uab.es
    This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
    Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
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    ICML
    2005
    IEEE
    160views Machine Learning» more  ICML 2005»
    Building Sparse Large Margin Classifiers
    14 years 8 months ago
    Building Sparse Large Margin Classifiers
    Download  www.kyb.mpg.de
    This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
    Bernhard Schölkopf, Gökhan H. Bakir, Min...
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