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    PKDD
    2010
    Springer
    183views Data Mining» more  PKDD 2010»
    Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
    13 years 3 months ago
    Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
    Download  www-kd.iai.uni-bonn.de
    Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
    Zhao Xu, Kristian Kersting, Thorsten Joachims
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    ICML
    2007
    IEEE
    206views Machine Learning» more  ICML 2007»
    Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
    14 years 5 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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    RSS
    2007
    176views Robotics» more  RSS 2007»
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    13 years 6 months ago
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    Download  www.roboticsproceedings.org
    Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
    Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
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    PKDD
    2010
    Springer
    179views Data Mining» more  PKDD 2010»
    Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
    13 years 2 months ago
    Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
    Download  www.cs.utexas.edu
    Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
    Tobias Jung, Peter Stone
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    ICDM
    2009
    IEEE
    207views Data Mining» more  ICDM 2009»
    Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
    13 years 2 months ago
    Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
    Download  ideal.ece.utexas.edu
    Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
    Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
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