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» On learning in agent-centered search
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WWW
2007
ACM
16 years 7 months ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz
UAI
2003
15 years 7 months ago
On Local Optima in Learning Bayesian Networks
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
Jens D. Nielsen, Tomás Kocka, José M...
LPNMR
2004
Springer
15 years 11 months ago
Answer Set Programming with Clause Learning
A conflict clause represents a backtracking solver’s analysis of why a conflict occurred. This analysis can be used to further prune the search space and to direct the search h...
Jeffrey Ward, John S. Schlipf

Book
392views
17 years 4 months ago
Reinforcement Learning: An Introduction
"Reinforcement learning is learning what to do how to map situations to actions so as to maximize a numerical reward signal. The learner is not told which actions to take, as ...
Richard S. Sutton, Andrew G. Barto
EWCBR
2004
Springer
15 years 11 months ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl