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105
Voted
NIPS
2007
15 years 2 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
124
Voted
NIPS
2007
15 years 2 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
122
Voted
NIPS
2007
15 years 2 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
115
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CAINE
2003
15 years 2 months ago
2003
This paper presents a fuzzy logic approach for switching multiple reference models, within the Model Reference Adaptive Control (MRAC) framework, in response to major changes in t...
109
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ISCAPDCS
2004
15 years 2 months ago
2004
Hyperthreaded(HT) and simultaneous multithreaded (SMT) processors are now available in commodity workstations and servers. This technology is designed to increase throughput by ex...