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    BMCBI
    2007
    162views more  BMCBI 2007»
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
    13 years 8 months ago
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
    Download  www.biomedcentral.com
    Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
    Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
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    JMLR
    2002
    137views more  JMLR 2002»
    The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
    13 years 7 months ago
    The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
    Download  jmlr.csail.mit.edu
    A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
    Masashi Sugiyama, Klaus-Robert Müller
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    BMCBI
    2006
    142views more  BMCBI 2006»
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
    13 years 8 months ago
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
    Download  www.biomedcentral.com
    Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
    Yuanyuan Ding, Dawn Wilkins
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    KDD
    2008
    ACM
    178views Data Mining» more  KDD 2008»
    Training structural svms with kernels using sampled cuts
    14 years 8 months ago
    Training structural svms with kernels using sampled cuts
    Download  www.cs.cornell.edu
    Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
    Chun-Nam John Yu, Thorsten Joachims
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    CVPR
    2004
    IEEE
    167views Computer Vision» more  CVPR 2004»
    Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
    14 years 10 months ago
    Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
    Download  leon.bottou.org
    We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
    Fu Jie Huang, Léon Bottou, Yann LeCun
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