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    CSL
    2012
    Springer
    311views Automated Reasoning» more  CSL 2012»
    Reinforcement learning for parameter estimation in statistical spoken dialogue systems
    12 years 3 months ago
    Reinforcement learning for parameter estimation in statistical spoken dialogue systems
    Download  mi.eng.cam.ac.uk
    Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
    Filip Jurcícek, Blaise Thomson, Steve Young
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    CCS
    2005
    ACM
    109views Security Privacy» more  CCS 2005»
    A model and architecture for pseudo-random generation with applications to /dev/random
    14 years 1 months ago
    A model and architecture for pseudo-random generation with applications to /dev/random
    Download  eprint.iacr.org
    We present a formal model and a simple architecture for robust pseudorandom generation that ensures resilience in the face of an observer with partial knowledge/control of the gen...
    Boaz Barak, Shai Halevi
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    ICML
    2007
    IEEE
    107views Machine Learning» more  ICML 2007»
    Quadratically gated mixture of experts for incomplete data classification
    14 years 8 months ago
    Quadratically gated mixture of experts for incomplete data classification
    Download  www.machinelearning.org
    We introduce quadratically gated mixture of experts (QGME), a statistical model for multi-class nonlinear classification. The QGME is formulated in the setting of incomplete data,...
    Xuejun Liao, Hui Li, Lawrence Carin
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    UMUAI
    1998
    157views more  UMUAI 1998»
    Bayesian Models for Keyhole Plan Recognition in an Adventure Game
    13 years 7 months ago
    Bayesian Models for Keyhole Plan Recognition in an Adventure Game
    Download  www.csse.monash.edu.au
    We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
    David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
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    CVPR
    2009
    IEEE
    364views Computer Vision» more  CVPR 2009»
    Learning Visual Flows: A Lie Algebraic Approach
    15 years 2 months ago
    Learning Visual Flows: A Lie Algebraic Approach
    Download  projects.csail.mit.edu
    We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
    Dahua Lin, W. Eric L. Grimson, John W. Fisher III
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