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94
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AAAI
1998
15 years 1 months ago
Finding Optimal Strategies for Imperfect Information Games
Weexaminethree heuristic algorithms for gameswith imperfect information: Monte-carlo sampling, and two newalgorithms wecall vector minimaxingand payoffreduction minimaxing. Wecomp...
Ian Frank, David A. Basin, Hitoshi Matsubara
89
Voted
EMO
2001
Springer
125views Optimization» more  EMO 2001»
15 years 5 months ago
Adapting Weighted Aggregation for Multiobjective Evolution Strategies
The conventional weighted aggregation method is extended to realize multi-objective optimization. The basic idea is that systematically changing the weights during evolution will l...
Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
CP
2007
Springer
15 years 4 months ago
Exploring Different Constraint-Based Modelings for Program Verification
Recently, constraint-programming techniques have been used to generate test data and to verify the conformity of a program with its specification. Constraint generated for these ta...
Hélène Collavizza, Michel Rueher
ITC
2003
IEEE
141views Hardware» more  ITC 2003»
15 years 5 months ago
Testability Features of the Alpha 21364 Microprocessor
The custom testability strategy of the Alpha 21364, Hewlett-Packard’s most recent Alpha microprocessor, builds upon its Alpha 21264 embedded core. Several additional DFT feature...
Scott Erlanger, Dilip K. Bhavsar, Richard A. Davie...
AAAI
2011
14 years 14 days ago
Size Adaptive Selection of Most Informative Features
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng...