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JAIR
2010
131views more  JAIR 2010»
15 years 5 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
SUM
2010
Springer
15 years 5 months ago
Cost-Based Query Answering in Action Probabilistic Logic Programs
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
Gerardo I. Simari, John P. Dickerson, V. S. Subrah...
EMNLP
2010
15 years 4 months ago
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
15 years 4 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...
CIKM
2009
Springer
15 years 4 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar