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» Learning Stochastic Logic Programs
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ECAI
2004
Springer
13 years 11 months ago
Yet More Efficient EM Learning for Parameterized Logic Programs by Inter-Goal Sharing
Abstract. In previous research, we presented a dynamicprogramming-based EM (expectation-maximization) algorithm for parameterized logic programs, which is based on the structure sh...
Yoshitaka Kameya, Taisuke Sato, Neng-Fa Zhou
COLT
1994
Springer
13 years 11 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
KI
2007
Springer
14 years 1 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
ICEIS
2009
IEEE
14 years 2 months ago
A Logic Programming Framework for Learning by Imitation
Grazia Bombini, Nicola Di Mauro, Teresa Maria Alto...