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SIAMCO
2002
81views more  SIAMCO 2002»
15 years 6 months ago
Optimality Conditions for Irregular Inequality-Constrained Problems
Abstract. We consider feasible sets given by conic constraints, where the cone defining the constraints is convex with nonempty interior. We study the case where the feasible set i...
Alexey F. Izmailov, Mikhail V. Solodov
CONSTRAINTS
1998
62views more  CONSTRAINTS 1998»
15 years 6 months ago
Learning Game-Specific Spatially-Oriented Heuristics
This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Susan L. Epstein, Jack Gelfand, Esther Lock
UAI
2008
15 years 7 months ago
Partitioned Linear Programming Approximations for MDPs
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
Branislav Kveton, Milos Hauskrecht
JCP
2008
104views more  JCP 2008»
15 years 6 months ago
Discovery of Sequential Patterns Coinciding with Analysts' Interests
This paper proposes a new sequential pattern mining method. The method introduces a new evaluation criterion satisfying the Apriori property. The criterion is calculated by the fre...
Shigeaki Sakurai, Youichi Kitahara, Ryohei Orihara...
ORL
2008
124views more  ORL 2008»
15 years 6 months ago
Sample average approximation of expected value constrained stochastic programs
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example, in portfolio s...
Wei Wang, Shabbir Ahmed