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IOR
2007
119views more  IOR 2007»
13 years 7 months ago
A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow
We study a new class of decentralized algorithms for discrete optimization via simulation, which is inspired by the fictitious play algorithm applied to games with identical inte...
Alfredo Garcia, Stephen D. Patek, Kaushik Sinha
CORR
2000
Springer
84views Education» more  CORR 2000»
13 years 7 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
13 years 7 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
ENTCS
2006
123views more  ENTCS 2006»
13 years 7 months ago
Nonmonotonic Trust Management for P2P Applications
Community decisions about access control in virtual communities are non-monotonic in nature. This means that they cannot be expressed in current, monotonic trust management langua...
Marcin Czenko, Ha Tran, Jeroen Doumen, Sandro Etal...
JMLR
2002
89views more  JMLR 2002»
13 years 7 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...