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    NIPS
    2004
    95views Information Technology» more  NIPS 2004»
    PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
    13 years 6 months ago
    PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
    Download  books.nips.cc
    We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
    Mario Marchand, Mohak Shah
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 4 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 5 months ago
    Kernel-based distance metric learning for microarray data classification
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    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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    BMCBI
    2007
    194views more  BMCBI 2007»
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    13 years 5 months ago
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    Download  www.biomedcentral.com
    Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
    Xin Zhao, Leo Wang-Kit Cheung
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    FLAIRS
    2004
    239views Artificial Intelligence» more  FLAIRS 2004»
    Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
    13 years 6 months ago
    Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
    Download  www.aaai.org
    One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
    ZhenQiu Liu, Dechang Chen
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