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» Learning Approximate Consistencies
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205
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COR
2008
142views more  COR 2008»
15 years 7 months ago
Application of reinforcement learning to the game of Othello
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
Nees Jan van Eck, Michiel C. van Wezel
APPROX
2009
Springer
142views Algorithms» more  APPROX 2009»
16 years 1 months ago
Optimal Sherali-Adams Gaps from Pairwise Independence
Abstract. This work considers the problem of approximating fixed predicate constraint satisfaction problems (MAX k-CSP(P)). We show that if the set of assignments accepted by P co...
Konstantinos Georgiou, Avner Magen, Madhur Tulsian...
ICPR
2000
IEEE
15 years 11 months ago
Modeling Range Images with Bounded Error Triangular Meshes without Optimization
This paper presents a new technique for approximating range images by means of adaptive triangular meshes with a bounded approximation error and without applying optimization. Thi...
Angel Domingo Sappa, Miguel Angel García
186
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SODA
1997
ACM
119views Algorithms» more  SODA 1997»
15 years 8 months ago
Map Labeling and Its Generalizations
Map labeling is of fundamental importance in cartography and geographical information systems and is one of the areas targeted for research by the ACM Computational Geometry Impac...
Srinivas Doddi, Madhav V. Marathe, Andy Mirzaian, ...
MOC
2011
15 years 2 months ago
Convergence of a mixed method for a semi-stationary compressible Stokes system
We propose and analyze a finite element method for a semi– stationary Stokes system modeling compressible fluid flow subject to a Navier– slip boundary condition. The veloci...
Kenneth H. Karlsen, Trygve K. Karper