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    ML
    2008
    ACM
    150views Machine Learning» more  ML 2008»
    Learning probabilistic logic models from probabilistic examples
    14 years 9 months ago
    Learning probabilistic logic models from probabilistic examples
    Download  ftp.cs.wisc.edu
    Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
    Jianzhong Chen, Stephen Muggleton, José Car...
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    KI
    2009
    Springer
    138views Artificial Intelligence» more  KI 2009»
    Machine Learning Techniques for Selforganizing Combustion Control
    15 years 4 months ago
    Machine Learning Techniques for Selforganizing Combustion Control
    Download  www.tu-ilmenau.de
    Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
    Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
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    ESANN
    1998
    142views Neural Networks» more  ESANN 1998»
    Lazy learning for control design
    14 years 11 months ago
    Lazy learning for control design
    Download  www.dice.ucl.ac.be
    This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
    Gianluca Bontempi, Mauro Birattari, Hugues Bersini
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    TSMC
    2008
    177views more  TSMC 2008»
    Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
    14 years 8 months ago
    Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
    Download  www.ece.uic.edu
    A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
    Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
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    IJRR
    2008
    139views more  IJRR 2008»
    Learning to Control in Operational Space
    14 years 9 months ago
    Learning to Control in Operational Space
    Download  www.kyb.tuebingen.mpg.de
    One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
    Jan Peters, Stefan Schaal
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