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AI
2000
Springer
13 years 8 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
PAMI
1998
100views more  PAMI 1998»
13 years 8 months ago
Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR
—Deformable template representations of observed imagery, model the variability of target pose via the actions of the matrix Lie groups on rigid templates. In this paper, we stud...
Ulf Grenander, Michael I. Miller, Anuj Srivastava
ESWA
2008
169views more  ESWA 2008»
13 years 8 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
TKDE
2010
168views more  TKDE 2010»
13 years 6 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
ACL
2010
13 years 6 months ago
A Rational Model of Eye Movement Control in Reading
A number of results in the study of realtime sentence comprehension have been explained by computational models as resulting from the rational use of probabilistic linguistic info...
Klinton Bicknell, Roger Levy