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ECCV
2008
Springer
14 years 9 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
AAMAS
2010
Springer
13 years 7 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 22 days ago
An Evolutionary Approach with Pharmacophore-Based Scoring Functions for Virtual Database Screening
We have developed a new tool for virtual database screening. This tool, referred to as the Generic Evolutionary Method for molecular DOCKing (GEMDOCK), combines an evolutionary app...
Jinn-Moon Yang, Tsai-Wei Shen, Yen-Fu Chen, Yi-Yua...
IMR
2003
Springer
14 years 17 days ago
Fully Automatic Adaptive Mesh Refinement Integrated into the Solution Process
Finite element analysts and designers need to feel confident in the results of their analyses before sending a product to prototype or production. Mesh discretization can greatly ...
Joseph R. Tristano, Zhijian Chen, D. Alfred Hancq,...
ICML
2000
IEEE
13 years 11 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens