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    JAIR
    2008
    113views more  JAIR 2008»
    Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
    13 years 7 months ago
    Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
    Download  www.jair.org
    In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
    Bart van den Broek, Wim Wiegerinck, Bert Kappen
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    JCC
    2008
    114views more  JCC 2008»
    Molecular simulation of multistate peptide dynamics: A comparison between microsecond timescale sampling and multiple shorter tr
    13 years 7 months ago
    Molecular simulation of multistate peptide dynamics: A comparison between microsecond timescale sampling and multiple shorter tr
    Download  folding.cnsm.csulb.edu
    Abstract: Molecular dynamics simulations of the RN24 peptide, which includes a diverse set of structurally heterogeneous states, are carried out in explicit solvent. Two approaches...
    Luca Monticelli, Eric J. Sorin, D. Peter Tieleman,...
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    CORR
    2007
    Springer
    144views Education» more  CORR 2007»
    Optimization of Information Rate Upper and Lower Bounds for Channels with Memory
    13 years 7 months ago
    Optimization of Information Rate Upper and Lower Bounds for Channels with Memory
    Download  users.cecs.anu.edu.au
    —We consider the problem of minimizing upper bounds and maximizing lower bounds on information rates of stationary and ergodic discrete-time channels with memory. The channels we...
    Parastoo Sadeghi, Pascal O. Vontobel, Ramtin Shams
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    IVC
    2006
    227views more  IVC 2006»
    Automatic registration of overlapping 3D point clouds using closest points
    13 years 7 months ago
    Automatic registration of overlapping 3D point clouds using closest points
    Download  users.aber.ac.uk
    While the SoftAssign algorithm imposes a two-way constraint embedded into the deterministic annealing scheme and the EMICP algorithm imposes a one-way constraint, they represent t...
    Yonghuai Liu
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 7 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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