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    NIPS
    2003
    196views Information Technology» more  NIPS 2003»
    Approximate Policy Iteration with a Policy Language Bias
    13 years 9 months ago
    Approximate Policy Iteration with a Policy Language Bias
    Download  www.jair.org
    We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
    Alan Fern, Sung Wook Yoon, Robert Givan
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    UAI
    2003
    109views Artificial Intelligence» more  UAI 2003»
    Exploiting Locality in Searching the Web
    13 years 9 months ago
    Exploiting Locality in Searching the Web
    Download  www.cs.brown.edu
    Published experiments on spidering the Web suggest that, given training data in the form of a (relatively small) subgraph of the Web containing a subset of a selected class of tar...
    Joel Young, Thomas Dean
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    NIPS
    1998
    129views Information Technology» more  NIPS 1998»
    Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
    13 years 9 months ago
    Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
    Download  www.ri.cmu.edu
    This paper presents probabilistic modeling methods to solve the problem of discriminating between five facial orientations with very little labeled data. Three models are explored...
    Shumeet Baluja
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    JCC
    2008
    166views more  JCC 2008»
    Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
    13 years 7 months ago
    Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
    Download  home.gwu.edu
    : We adapt a combinatorial optimization algorithm, extremal optimization (EO), for the search problem in computational protein design. This algorithm takes advantage of the knowled...
    Naigong Zhang, Chen Zeng
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    MAGS
    2008
    121views more  MAGS 2008»
    A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functions
    13 years 7 months ago
    A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functions
    Download  www.ri.cmu.edu
    This paper presents a decentralized model that allows self-interested agents to reach "win-win" agreements in a multi-attribute negotiation. The model is based on an alt...
    Guoming Lai, Katia P. Sycara, Cuihong Li
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