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ECCV
2008
Springer
16 years 1 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
14 years 12 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»
15 years 5 months 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
15 years 5 months 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
15 years 4 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