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    » Exponential Family Predictive Representations of State
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    ICML
    2008
    IEEE
    157views Machine Learning» more  ICML 2008»
    Efficiently learning linear-linear exponential family predictive representations of state
    15 years 10 months ago
    Efficiently learning linear-linear exponential family predictive representations of state
    Download  web.mit.edu
    Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
    David Wingate, Satinder P. Singh
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    NIPS
    2007
    109views Information Technology» more  NIPS 2007»
    Exponential Family Predictive Representations of State
    14 years 11 months ago
    Exponential Family Predictive Representations of State
    Download  web.mit.edu
    David Wingate, Satinder Singh Baveja
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    EMNLP
    2009
    177views Natural Language Processing» more  EMNLP 2009»
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    14 years 7 months ago
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    Download  www.aclweb.org
    We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
    Matti Kääriäinen
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    NIPS
    2003
    145views Information Technology» more  NIPS 2003»
    A Nonlinear Predictive State Representation
    14 years 11 months ago
    A Nonlinear Predictive State Representation
    Download  books.nips.cc
    Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
    Matthew R. Rudary, Satinder P. Singh
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    AI
    2000
    Springer
    154views Artificial Intelligence» more  AI 2000»
    Stochastic dynamic programming with factored representations
    14 years 9 months ago
    Stochastic dynamic programming with factored representations
    Download  www.cs.tufts.edu
    Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
    Craig Boutilier, Richard Dearden, Moisés Go...
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