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    ICML
    2007
    IEEE
    141views Machine Learning» more  ICML 2007»
    CarpeDiem: an algorithm for the fast evaluation of SSL classifiers
    16 years 7 months ago
    CarpeDiem: an algorithm for the fast evaluation of SSL classifiers
    Download  www.machinelearning.org
    In this paper we present a novel algorithm, CarpeDiem. It significantly improves on the time complexity of Viterbi algorithm, preserving the optimality of the result. This fact ha...
    Roberto Esposito, Daniele P. Radicioni
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    ICALT
    2008
    IEEE
    135views Machine Learning» more  ICALT 2008»
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    16 years 23 days ago
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    Download  ltee.org
    Apparently computer technology is shifting its focus, with individual users not being the main target any more. The evolution of Web 2.0 technologies is promoting the development ...
    Tharrenos Bratitsis, Angelique Dimitracopoulou
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    ISF
    2010
    164views more  ISF 2010»
    An SVM-based machine learning method for accurate internet traffic classification
    15 years 3 months ago
    An SVM-based machine learning method for accurate internet traffic classification
    Download  www.cfins.au.tsinghua.edu.cn
    Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
    Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
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    NIPS
    2004
    133views Information Technology» more  NIPS 2004»
    Machine Learning Applied to Perception: Decision Images for Gender Classification
    15 years 7 months ago
    Machine Learning Applied to Perception: Decision Images for Gender Classification
    Download  www.cns.nyu.edu
    We study gender discrimination of human faces using a combination of psychophysical classification and discrimination experiments together with methods from machine learning. We r...
    Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simo...
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    APBC
    2003
    116views Bioinformatics» more  APBC 2003»
    An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
    15 years 7 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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