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» A Learning Algorithm for Multiple Rule Trees
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AIPS
2010
13 years 7 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
PPSN
2004
Springer
14 years 1 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
FLAIRS
2011
12 years 11 months ago
Learning Opponent Strategies through First Order Induction
In a competitive game it is important to identify the opponent’s strategy as quickly and accurately as possible so that an effective response can be staged. In this vain, this p...
Katie Long Genter, Santiago Ontañón,...
AAAI
2008
13 years 10 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
HUMO
2007
Springer
14 years 1 months ago
Boosted Multiple Deformable Trees for Parsing Human Poses
Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture additiona...
Yang Wang 0003, Greg Mori