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ICML
2008
IEEE
16 years 7 months ago
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
Ronald Parr, Lihong Li, Gavin Taylor, Christopher ...
ATAL
2010
Springer
15 years 7 months ago
Divide-and-coordinate: DCOPs by agreement
In this paper we investigate an approach to provide approximate, anytime algorithms for DCOPs that can provide quality guarantees. At this aim, we propose the divide-and-coordinat...
Meritxell Vinyals, Marc Pujol, Juan A. Rodrí...
ICPR
2010
IEEE
16 years 1 months ago
Fast and Accurate Approximation of the Euclidean Opening Function in Arbitrary Dimension
In this paper, we present a fast and accurate approximation of the Euclidean opening function which is a wide-used tool in morphological mathematics to analyze binary shapes since...
David Coeurjolly
160
Voted
COCO
2005
Springer
131views Algorithms» more  COCO 2005»
16 years 4 days ago
On the Hardness of Approximating Multicut and Sparsest-Cut
We show that the Multicut, Sparsest-Cut, and Min-2CNF≡ Deletion problems are NP-hard to approximate within every constant factor, assuming the Unique Games Conjecture of Khot [S...
Shuchi Chawla, Robert Krauthgamer, Ravi Kumar, Yuv...
ISAAC
2005
Springer
127views Algorithms» more  ISAAC 2005»
16 years 3 days ago
On Complexity and Approximability of the Labeled Maximum/Perfect Matching Problems
In this paper, we deal with both the complexity and the approximability of the labeled perfect matching problem in bipartite graphs. Given a simple graph G = (V, E) with n vertices...
Jérôme Monnot