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ECML
1993
Springer
15 years 4 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
134
Voted
UAI
2000
15 years 2 months ago
Fast Planning in Stochastic Games
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...
117
Voted
AAAI
1996
15 years 2 months ago
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes
Most model-based diagnosis systems, such as GDE and Sherlock, have concerned discrete, static systems such as logic circuits and use simple constraint propagation to detect incons...
Siddarth Subramanian, Raymond J. Mooney
97
Voted
EOR
2010
125views more  EOR 2010»
15 years 22 days ago
Efficient estimation of large portfolio loss probabilities in t-copula models
We consider the problem of accurately measuring the credit risk of a portfolio consisting of loans, bonds and other financial assets. One particular performance measure of interes...
Joshua C. C. Chan, Dirk P. Kroese
94
Voted
EOR
2010
149views more  EOR 2010»
15 years 22 days ago
Adaptive multicut aggregation for two-stage stochastic linear programs with recourse
Outer linearization methods for two-stage stochastic linear programs with recourse, such as the L-shaped algorithm, generally apply a single optimality cut on the nonlinear object...
Svyatoslav Trukhanov, Lewis Ntaimo, Andrew Schaefe...