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    AUSDM
    2006
    Springer
    177views Data Mining» more  AUSDM 2006»
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    14 years 4 days ago
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    Download  crpit.com
    The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
    Tatjana Eitrich, Bruno Lang
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    ESANN
    2008
    125views Neural Networks» more  ESANN 2008»
    Methodology and standards for data analysis with machine learning tools
    13 years 9 months ago
    Methodology and standards for data analysis with machine learning tools
    Download  www.dice.ucl.ac.be
    Many tools for data mining are complex and require skills and experience to be used successfully. Therefore, data mining is often considered an art as much as science. This paper p...
    Damien François
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    AAAI
    2010
    185views Intelligent Agents» more  AAAI 2010»
    Constraint Programming for Data Mining and Machine Learning
    13 years 9 months ago
    Constraint Programming for Data Mining and Machine Learning
    Download  dtai.cs.kuleuven.be
    Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
    Luc De Raedt, Tias Guns, Siegfried Nijssen
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    AIMSA
    2004
    Springer
    210views Artificial Intelligence» more  AIMSA 2004»
    PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining
    14 years 1 months ago
    PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining
    Download  bi.snu.ac.kr
    PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
    Jae-Hong Eom, Byoung-Tak Zhang
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    WSDM
    2010
    ACM
    129views Data Mining» more  WSDM 2010»
    Early Exit Optimizations for Additive Machine Learned Ranking Systems
    14 years 5 months ago
    Early Exit Optimizations for Additive Machine Learned Ranking Systems
    Download  www.wsdm-conference.org
    Berkant Barla Cambazoglu, Hugo Zaragoza, Olivier C...
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