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» Extended clause learning
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122
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ECML
2006
Springer
15 years 6 months ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
135
Voted
ALT
2004
Springer
15 years 11 months ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
175
Voted
COLT
1994
Springer
15 years 6 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
SAC
2005
ACM
15 years 8 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
109
Voted
EACL
2006
ACL Anthology
15 years 4 months ago
Semantic Role Labeling for Coreference Resolution
Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
Simone Paolo Ponzetto, Michael Strube