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ICML
2008
IEEE
14 years 5 months ago
Fast estimation of first-order clause coverage through randomization and maximum likelihood
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
Filip Zelezný, Ondrej Kuzelka
COLT
1994
Springer
13 years 9 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
ILP
2007
Springer
13 years 11 months ago
ILP : - Just Trie It
Abstract. Despite the considerable success of Inductive Logic Programming, deployed ILP systems still have efficiency problems when applied to complex problems. Several techniques ...
Rui Camacho, Nuno A. Fonseca, Ricardo Rocha, V&iac...
ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 4 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
ILP
2003
Springer
13 years 10 months ago
Hybrid Abductive Inductive Learning: A Generalisation of Progol
The learning system Progol5 and the underlying inference method of Bottom Generalisation are firmly established within Inductive Logic Programming (ILP). But despite their success...
Oliver Ray, Krysia Broda, Alessandra Russo