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    NIPS
    2008
    116views Information Technology» more  NIPS 2008»
    Algorithms for Infinitely Many-Armed Bandits
    13 years 11 months ago
    Algorithms for Infinitely Many-Armed Bandits
    Download  www.stat.lsa.umich.edu
    We consider multi-armed bandit problems where the number of arms is larger than the possible number of experiments. We make a stochastic assumption on the mean-reward of a new sel...
    Yizao Wang, Jean-Yves Audibert, Rémi Munos
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    AIPS
    2004
    102views Artificial Intelligence» more  AIPS 2004»
    An Empirical Analysis of Some Heuristic Features for Local Search in LPG
    13 years 11 months ago
    An Empirical Analysis of Some Heuristic Features for Local Search in LPG
    Download  www.ing.unibs.it
    LPG is a planner that performed very well in the last International planning competition (2002). The system is based on a stochastic local search procedure, and it incorporates se...
    Alfonso Gerevini, Alessandro Saetti, Ivan Serina
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    CORR
    2007
    Springer
    169views Education» more  CORR 2007»
    Algorithmic Complexity Bounds on Future Prediction Errors
    13 years 9 months ago
    Algorithmic Complexity Bounds on Future Prediction Errors
    Download  www.idsia.ch
    We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
    Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
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    ICCMS
    2009
    118views more  ICCMS 2009»
    Optimized Parallel Implementation of Gillespie's First Reaction Method on Graphics Processing Units
    13 years 7 months ago
    Optimized Parallel Implementation of Gillespie's First Reaction Method on Graphics Processing Units
    Download  www.di.unipi.it
    The simulation of chemical reacting systems is one of the most challenging topics in Systems Biology, due to their complexity and inherent randomness. The Gillespie's Stochas...
    Cristian Dittamo, Davide Cangelosi
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    ICIP
    2003
    IEEE
    173views Image Processing» more  ICIP 2003»
    Object localization using texture motifs and Markov random fields
    14 years 11 months ago
    Object localization using texture motifs and Markov random fields
    Download  vision.ece.ucsb.edu
    This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
    Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath
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