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» Generalizing over Several Learning Settings
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COLT
2003
Springer
14 years 28 days ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
AUTOMATICA
2006
166views more  AUTOMATICA 2006»
13 years 7 months ago
On admissible pairs and equivalent feedback - Youla parameterization in iterative learning control
This paper revisits a well-known synthesis problem in iterative learning control, where the objective is to optimize a performance criterion over a class of causal iterations. The...
Mark Verwoerd, Gjerrit Meinsma, Theo de Vries
SIGGRAPH
2010
ACM
14 years 5 days ago
Learning behavior styles with inverse reinforcement learning
We present a method for inferring the behavior styles of character controllers from a small set of examples. We show that a rich set of behavior variations can be captured by dete...
Seong Jae Lee, Zoran Popovic
ICML
2006
IEEE
14 years 8 months ago
Constructing informative priors using transfer learning
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Rajat Raina, Andrew Y. Ng, Daphne Koller
AOSE
2005
Springer
14 years 1 months ago
Aspects in Agent-Oriented Software Engineering: Lessons Learned
Several concerns in the development of multi-agent systems (MASs) cannot be represented in a modular fashion. In general, they inherently affect several system modules and cannot b...
Alessandro F. Garcia, Uirá Kulesza, Cl&aacu...