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    » Learning Obstacle Avoidance with an Operant Behavior Model
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    EMNLP
    2008
    117views Natural Language Processing» more  EMNLP 2008»
    Sampling Alignment Structure under a Bayesian Translation Model
    13 years 8 months ago
    Sampling Alignment Structure under a Bayesian Translation Model
    Download  www.cs.berkeley.edu
    We describe the first tractable Gibbs sampling procedure for estimating phrase pair frequencies under a probabilistic model of phrase alignment. We propose and evaluate two nonpar...
    John DeNero, Alexandre Bouchard-Côté,...
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    AAAI
    1996
    118views Intelligent Agents» more  AAAI 1996»
    Learning Models of Intelligent Agents
    13 years 8 months ago
    Learning Models of Intelligent Agents
    Download  www.cs.technion.ac.il
    Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
    David Carmel, Shaul Markovitch
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    CA
    2002
    IEEE
    121views Computer Animation» more  CA 2002»
    A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation
    13 years 11 months ago
    A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation
    Download  rtg.cis.upenn.edu
    Animated characters may exhibit several kinds of dynamic intelligence when performing low-level navigation (i.e., navigation on a local perceptual scale): They decide among differ...
    Eric Aaron, Harold C. Sun, Franjo Ivancic, Dimitri...
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    CHI
    2010
    ACM
    205views Human Computer Interaction» more  CHI 2010»
    Using reinforcement to strengthen users' secure behaviors
    14 years 1 months ago
    Using reinforcement to strengthen users' secure behaviors
    Download  www.cs.pitt.edu
    Users have a strong tendency toward dismissing security dialogs unthinkingly. Prior research has shown that users' responses to security dialogs become significantly more tho...
    Ricardo Villamarín-Salomón, Jos&eacu...
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    ICML
    2009
    IEEE
    136views Machine Learning» more  ICML 2009»
    Herding dynamical weights to learn
    14 years 7 months ago
    Herding dynamical weights to learn
    Download  www.ics.uci.edu
    A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
    Max Welling
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