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    » An Information Criterion for Informative Gene Selection
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    CSDA
    2006
    102views more  CSDA 2006»
    An improved Akaike information criterion for state-space model selection
    13 years 5 months ago
    An improved Akaike information criterion for state-space model selection
    Download  www.cgd.ucar.edu
    Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
    Thomas Bengtsson, Joseph E. Cavanaugh
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    AROBOTS
    2006
    97views more  AROBOTS 2006»
    How a mobile robot selects landmarks to make a decision based on an information criterion
    13 years 5 months ago
    How a mobile robot selects landmarks to make a decision based on an information criterion
    Download  www.er.ams.eng.osaka-u.ac.jp
    Most current mobile robots are designed to determine their actions according to their positions. Before making a decision, they need to localize themselves. Thus, their observation...
    Noriaki Mitsunaga, Minoru Asada
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    CSDA
    2008
    98views more  CSDA 2008»
    Bootstrap variants of the Akaike information criterion for mixed model selection
    13 years 5 months ago
    Bootstrap variants of the Akaike information criterion for mixed model selection
    Download  personal.bgsu.edu
    Junfeng Shang, Joseph E. Cavanaugh
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    JMLR
    2008
    80views more  JMLR 2008»
    An Information Criterion for Variable Selection in Support Vector Machines
    13 years 5 months ago
    An Information Criterion for Variable Selection in Support Vector Machines
    Download  www.econ.kuleuven.be
    Gerda Claeskens, Christophe Croux, Johan Van Kerck...
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    AUSAI
    2007
    Springer
    130views Artificial Intelligence» more  AUSAI 2007»
    Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification
    13 years 9 months ago
    Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification
    Download  www.cs.usyd.edu.au
    Abstract. One of the key applications of microarray studies is to select and classify gene expression profiles of cancer and normal subjects. In this study, two hybrid approaches
    Pengyi Yang, Zili Zhang
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