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    ICML
    2004
    IEEE
    144views Machine Learning» more  ICML 2004»
    Learning large margin classifiers locally and globally
    14 years 8 months ago
    Learning large margin classifiers locally and globally
    Download  www.cse.cuhk.edu.hk
    A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
    Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
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    CCE
    2006
    119views Software Engineering» more  CCE 2006»
    An efficient algorithm for large scale stochastic nonlinear programming problems
    13 years 7 months ago
    An efficient algorithm for large scale stochastic nonlinear programming problems
    Download  www.vri-custom.org
    The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
    Y. Shastri, Urmila M. Diwekar
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    ICML
    2007
    IEEE
    275views Machine Learning» more  ICML 2007»
    Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
    14 years 8 months ago
    Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
    Download  ttic.uchicago.edu
    We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
    Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
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    EUROCRYPT
    2009
    Springer
    137views Cryptology» more  EUROCRYPT 2009»
    Endomorphisms for Faster Elliptic Curve Cryptography on a Large Class of Curves
    14 years 8 months ago
    Endomorphisms for Faster Elliptic Curve Cryptography on a Large Class of Curves
    Download  eprint.iacr.org
    Abstract. Efficiently computable homomorphisms allow elliptic curve point multiplication to be accelerated using the Gallant-Lambert-Vanstone (GLV) method. Iijima, Matsuo, Chao and...
    Steven D. Galbraith, Xibin Lin, Michael Scott
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    BMCBI
    2006
    121views more  BMCBI 2006»
    Splice site identification using probabilistic parameters and SVM classification
    13 years 7 months ago
    Splice site identification using probabilistic parameters and SVM classification
    Download  www.biomedcentral.com
    Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
    A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
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