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    ESANN
    2006
    115views Neural Networks» more  ESANN 2006»
    Construction of a memory management system in an on-line learning mechanism
    14 years 11 months ago
    Construction of a memory management system in an on-line learning mechanism
    Download  www.dice.ucl.ac.be
    This paper is the first of a two paper series that deals with an important problem in on-line learning mechanisms for autonomous agents that must perform non trivial tasks and oper...
    Francisco Bellas, José Antonio Becerra, Ric...
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    ICAI
    2004
    80views Artificial Intelligence» more  ICAI 2004»
    Task Oriented Machine-Learning and Review
    14 years 11 months ago
    Task Oriented Machine-Learning and Review
    Download  www.ece.umassd.edu
    We propose an optimization algorithm to execute a previously unlearned task-oriented command in an intelligent machine. We show that a well-defined, physically bounded, task-orien...
    Pierre Abdelmalek, Howard E. Michel
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    NIPS
    1993
    92views Information Technology» more  NIPS 1993»
    The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
    14 years 11 months ago
    The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
    Download  www.ri.cmu.edu
    Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
    Andrew W. Moore
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    JMLR
    2010
    163views more  JMLR 2010»
    Active Sequential Learning with Tactile Feedback
    14 years 4 months ago
    Active Sequential Learning with Tactile Feedback
    Download  jmlr.csail.mit.edu
    We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
    Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar
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    ICIP
    2007
    IEEE
    138views Image Processing» more  ICIP 2007»
    MuFeSaC: Learning When to Use Which Feature Detector
    15 years 11 months ago
    MuFeSaC: Learning When to Use Which Feature Detector
    Download  imaging.utk.edu
    Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
    Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
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