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    » On learning algorithm selection for classification
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    JMLR
    2002
    115views more  JMLR 2002»
    PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
    13 years 7 months ago
    PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
    Download  jmlr.csail.mit.edu
    Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
    Matthias Seeger
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    PRL
    2006
    130views more  PRL 2006»
    Efficient huge-scale feature selection with speciated genetic algorithm
    13 years 7 months ago
    Efficient huge-scale feature selection with speciated genetic algorithm
    Download  sclab.yonsei.ac.kr
    With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in ...
    Jin-Hyuk Hong, Sung-Bae Cho
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    EVOW
    2009
    Springer
    159views Artificial Intelligence» more  EVOW 2009»
    Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets
    14 years 2 months ago
    Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets
    Download  nexginrc.org
    Ajay Kumar Tanwani, Jamal Afridi, M. Zubair Shafiq...
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    CIBB
    2008
    81views Artificial Intelligence» more  CIBB 2008»
    A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection
    13 years 9 months ago
    A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection
    Download  medeaserver.isa.cnr.it
    Michele Ceccarelli, Antonio d'Acierno, Angelo Facc...
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    PRL
    2010
    105views more  PRL 2010»
    A learning approach to hierarchical feature selection and aggregation for audio classification
    13 years 6 months ago
    A learning approach to hierarchical feature selection and aggregation for audio classification
    Download  www.cs.arizona.edu
    Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
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