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» Learning Rules and Their Exceptions
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129
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COOPIS
2003
IEEE
15 years 8 months ago
Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
Marie-Laure Reinberger, Peter Spyns, Walter Daelem...
113
Voted
CSCLP
2003
Springer
15 years 8 months ago
Learning Approximate Consistencies
ing Soft Constraints: Some Experimental Results on Fuzzy CSPs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 Stefano Bi...
Arnaud Lallouet, Andrei Legtchenko, Thi-Bich-Hanh ...
155
Voted
EMNLP
2006
15 years 4 months ago
Learning Information Status of Discourse Entities
In this paper we address the issue of automatically assigning information status to discourse entities. Using an annotated corpus of conversational English and exploiting morpho-s...
Malvina Nissim
JAIR
2006
106views more  JAIR 2006»
15 years 3 months ago
Clause/Term Resolution and Learning in the Evaluation of Quantified Boolean Formulas
Resolution is the rule of inference at the basis of most procedures for automated reasoning. In these procedures, the input formula is first translated into an equisatisfiable for...
Enrico Giunchiglia, Massimo Narizzano, Armando Tac...
138
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ICML
2007
IEEE
16 years 4 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel