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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 5 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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    IJON
    2010
    159views more  IJON 2010»
    Model predictive flight control using adaptive support vector regression
    13 years 2 months ago
    Model predictive flight control using adaptive support vector regression
    Download  www.ksiam.org
    This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
    Jongho Shin, H. Jin Kim, Sewook Park, Youdan Kim
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    SOFTWARE
    2002
    207views Applied Computing» more  SOFTWARE 2002»
    Using Markov Chains for Link Prediction in Adaptive Web Sites
    13 years 7 months ago
    Using Markov Chains for Link Prediction in Adaptive Web Sites
    Download  www.cs.qub.ac.uk
    The large number of Web pages on many Web sites has raised navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (W...
    Jianhan Zhu, Jun Hong, John G. Hughes
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    ICML
    2006
    IEEE
    180views Machine Learning» more  ICML 2006»
    Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
    14 years 8 months ago
    Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
    Download  www.eecs.umich.edu
    The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
    David Wingate, Satinder P. Singh
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    UM
    2007
    Springer
    141views Programming Languages» more  UM 2007»
    The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks
    14 years 2 months ago
    The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks
    Download  educationaldatamining.org
    A standing question in the field of Intelligent Tutoring Systems and User Modeling in general is what is the appropriate level of model granularity (how many skills to model) and h...
    Zachary A. Pardos, Neil T. Heffernan, Brigham Ande...
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