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    JMLR
    2008
    168views more  JMLR 2008»
    Max-margin Classification of Data with Absent Features
    13 years 8 months ago
    Max-margin Classification of Data with Absent Features
    Download  ai.stanford.edu
    We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
    Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
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    CSDA
    2007
    105views more  CSDA 2007»
    Model selection for support vector machines via uniform design
    13 years 8 months ago
    Model selection for support vector machines via uniform design
    Download  www.personal.psu.edu
    The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
    Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
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    JCB
    2006
    140views more  JCB 2006»
    HAPLOFREQ-Estimating Haplotype Frequencies Efficiently
    13 years 8 months ago
    HAPLOFREQ-Estimating Haplotype Frequencies Efficiently
    Download  www.cs.princeton.edu
    A commonly used tool in disease association studies is the search for discrepancies between the haplotype distribution in the case and control populations. In order to find this d...
    Eran Halperin, Elad Hazan
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    JSAC
    2008
    140views more  JSAC 2008»
    Optimality and Complexity of Pure Nash Equilibria in the Coverage Game
    13 years 8 months ago
    Optimality and Complexity of Pure Nash Equilibria in the Coverage Game
    Download  www.egr.uh.edu
    In this paper, we investigate the coverage problem in wireless sensor networks using a game theory method. We assume that nodes are randomly scattered in a sensor field and the goa...
    Xin Ai, Vikram Srinivasan, Chen-Khong Tham
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    ENGL
    2007
    180views more  ENGL 2007»
    Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
    13 years 8 months ago
    Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
    Download  www.engineeringletters.com
    — The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
    Shreyas Sen, Seetharam Narasimhan, Amit Konar
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