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    NIPS
    1993
    134views Information Technology» more  NIPS 1993»
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
    13 years 6 months ago
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
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    Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
    Christopher G. Atkeson
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    NIPS
    1993
    128views Information Technology» more  NIPS 1993»
    Convergence of Stochastic Iterative Dynamic Programming Algorithms
    13 years 6 months ago
    Convergence of Stochastic Iterative Dynamic Programming Algorithms
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    Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
    Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
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    NIPS
    2007
    138views Information Technology» more  NIPS 2007»
    Local Algorithms for Approximate Inference in Minor-Excluded Graphs
    13 years 6 months ago
    Local Algorithms for Approximate Inference in Minor-Excluded Graphs
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    We present a new local approximation algorithm for computing MAP and logpartition function for arbitrary exponential family distribution represented by a finite-valued pair-wise ...
    Kyomin Jung, Devavrat Shah
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    NIPS
    1996
    110views Information Technology» more  NIPS 1996»
    Predicting Lifetimes in Dynamically Allocated Memory
    13 years 6 months ago
    Predicting Lifetimes in Dynamically Allocated Memory
    Download  www.eecs.umich.edu
    Predictions oflifetimesofdynamicallyallocated objects can be used to improve time and space e ciency of dynamic memory management in computer programs. Barrett and Zorn 1993] used...
    David A. Cohn, Satinder P. Singh
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    NIPS
    1994
    125views Information Technology» more  NIPS 1994»
    Using a neural net to instantiate a deformable model
    13 years 6 months ago
    Using a neural net to instantiate a deformable model
    Download  www.cs.toronto.edu
    Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
    Christopher K. I. Williams, Michael Revow, Geoffre...
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