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155
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AAAI
2011
14 years 3 months ago
Dual Decomposition for Marginal Inference
We present a dual decomposition approach to the treereweighted belief propagation objective. Each tree in the tree-reweighted bound yields one subproblem, which can be solved with...
Justin Domke
128
Voted
WSC
2008
15 years 5 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
148
Voted
CVPR
2005
IEEE
15 years 5 months ago
Monocular 3-D Tracking of the Golf Swing
We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3– D reconstructions from monocular sequences. We formulate the trac...
Raquel Urtasun, David J. Fleet, Pascal Fua
140
Voted
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 7 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
128
Voted
CEC
2010
IEEE
15 years 4 months ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...