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» Parameter Learning of Logic Programs for Symbolic-Statistica...
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92
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ML
2006
ACM
143views Machine Learning» more  ML 2006»
14 years 9 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton
81
Voted
ICMLA
2010
14 years 6 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
EUROGP
2007
Springer
116views Optimization» more  EUROGP 2007»
15 years 3 months ago
Genetic Programming with Fitness Based on Model Checking
Abstract. Model checking is a way of analysing programs and programlike structures to decide whether they satisfy a list of temporal logic statements describing desired behaviour. ...
Colin G. Johnson
MLG
2007
Springer
15 years 3 months ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos
AMAI
2008
Springer
14 years 9 months ago
Set based logic programming
In a previous paper [BMR01], the authors showed that the mechanism underlying Logic Programming can be extended to handle the situation where the atoms are interpreted as subsets o...
Howard A. Blair, Victor W. Marek, Jeffrey B. Remme...