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AAAI
2006
13 years 12 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
INFOCOM
2002
IEEE
14 years 3 months ago
Topologically-Aware Overlay Construction and Server Selection
— A number of large-scale distributed Internet applications could potentially benefit from some level of knowledge about the relative proximity between its participating host no...
Sylvia Ratnasamy, Mark Handley, Richard M. Karp, S...
CVPR
2008
IEEE
15 years 13 days ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
AAAI
2004
13 years 12 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
ICAIL
2005
ACM
14 years 4 months ago
Constructing a Semantic Network for Legal Content
The Dutch Tax and Customs Administration (DTCA) is one of many organizations that deal with a multitude of electronic legal data, from various sources and in different formats. In...
Radboud Winkels, Alexander Boer, Emile de Maat, To...