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    JCP
    2008
    104views more  JCP 2008»
    Analysis and Improved Recognition of Protein Names Using Transductive SVM
    13 years 6 months ago
    Analysis and Improved Recognition of Protein Names Using Transductive SVM
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    We first analyzed protein names using various dictionaries and databases and found five problems with protein names; i.e., the treatment of special characters, the treatment of hom...
    Masaki Murata, Tomohiro Mitsumori, Kouichi Doi
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    SIGIR
    2008
    ACM
    84views Information Technology» more  SIGIR 2008»
    Semi-supervised spam filtering: does it work?
    13 years 6 months ago
    Semi-supervised spam filtering: does it work?
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    The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
    Mona Mojdeh, Gordon V. Cormack
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    DATAMINE
    2010
    76views more  DATAMINE 2010»
    Progressive refinement for support vector machines
    13 years 6 months ago
    Progressive refinement for support vector machines
    Download  ml.jpl.nasa.gov
    Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni...
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    JMLR
    2006
    186views more  JMLR 2006»
    Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    13 years 6 months ago
    Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    Download  people.cs.uchicago.edu
    We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
    Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
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    COLT
    2006
    Springer
    235views Machine Learning» more  COLT 2006»
    Learning Bounds for Support Vector Machines with Learned Kernels
    13 years 10 months ago
    Learning Bounds for Support Vector Machines with Learned Kernels
    Download  www.cs.nyu.edu
    Nathan Srebro, Shai Ben-David
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