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    ICML
    2007
    IEEE
    206views Machine Learning» more  ICML 2007»
    Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
    16 years 1 months ago
    Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
    Download  reports-archive.adm.cs.cmu.edu
    Andreas Krause, Carlos Guestrin
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    121
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    ICML
    2006
    IEEE
    156views Machine Learning» more  ICML 2006»
    Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
    16 years 1 months ago
    Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
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    Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
    Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
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    118
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    ICONIP
    2009
    153views Information Technology» more  ICONIP 2009»
    Learning Gaussian Process Models from Uncertain Data
    14 years 11 months ago
    Learning Gaussian Process Models from Uncertain Data
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    It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
    Patrick Dallaire, Camille Besse, Brahim Chaib-draa
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    91
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    ICML
    2009
    IEEE
    157views Machine Learning» more  ICML 2009»
    Function factorization using warped Gaussian processes
    16 years 1 months ago
    Function factorization using warped Gaussian processes
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    Mikkel N. Schmidt
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    115
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    ECML
    2007
    Springer
    168views Machine Learning» more  ECML 2007»
    Approximating Gaussian Processes with H2-Matrices
    15 years 2 months ago
    Approximating Gaussian Processes with H2-Matrices
    Download  videolectures.net
    Steffen Börm, Jochen Garcke
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