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    APBC
    2003
    116views Bioinformatics» more  APBC 2003»
    An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
    13 years 5 months ago
    An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
    Download  www.acs.org.au
    Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
    Aik Choon Tan, David Gilbert
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    BIOID
    2008
    110views Biometrics» more  BIOID 2008»
    An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
    13 years 6 months ago
    An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
    Download  cost2101.org
    This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
    Marjory C. C. Abreu, Michael C. Fairhurst
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    ICML
    2009
    IEEE
    131views Machine Learning» more  ICML 2009»
    Bayesian clustering for email campaign detection
    14 years 5 months ago
    Bayesian clustering for email campaign detection
    Download  www.cs.uni-potsdam.de
    We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...
    Peter Haider, Tobias Scheffer
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    IJCAI
    2007
    223views Artificial Intelligence» more  IJCAI 2007»
    Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
    13 years 5 months ago
    Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
    Download  ijcai.org
    Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
    Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
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    CCR
    2006
    114views more  CCR 2006»
    A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    13 years 4 months ago
    A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    Download  ccr.sigcomm.org
    The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
    Nigel Williams, Sebastian Zander, Grenville J. Arm...
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