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COLT
2010
Springer
13 years 8 months ago
Learning with Global Cost in Stochastic Environments
We consider an online learning setting where at each time step the decision maker has to choose how to distribute the future loss between k alternatives, and then observes the los...
Eyal Even-Dar, Shie Mannor, Yishay Mansour
ICDAR
2003
IEEE
14 years 3 months ago
Image Segmentation By Learning Approach
This article describes a new segmentation by thresholding approach based on learning. The method consists in learning to threshold correctly submitting both an image and its ideal...
Horacio Andrés Legal-Ayala, Jacques Facon
SAT
2005
Springer
107views Hardware» more  SAT 2005»
14 years 3 months ago
Local and Global Complete Solution Learning Methods for QBF
Solvers for Quantified Boolean Formulae (QBF) use many analogues of technique from SAT. A significant amount of work has gone into extending conflict based techniques such as co...
Ian P. Gent, Andrew G. D. Rowley
AAAI
2007
14 years 13 days ago
Active Imitation Learning
Imitation learning, also called learning by watching or programming by demonstration, has emerged as a means of accelerating many reinforcement learning tasks. Previous work has s...
Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao
ILP
2004
Springer
14 years 3 months ago
Learning Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) provide a simple and elegant framework for integrating probabilistic reasoning and logic programming. In this paper we ...
Fabrizio Riguzzi