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77
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ILP
2005
Springer
15 years 6 months ago
Strategies to Parallelize ILP Systems
Abstract. It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to find valuable models (theories). The problem is specially ...
Nuno A. Fonseca, Fernando M. A. Silva, Rui Camacho
AIMSA
2000
Springer
15 years 4 months ago
Least Generalization under Relative Implication
Inductive Logic Programming (ILP) deals with inducing clausal theories from examples basically through generalization or specialization. The specialization and generalization oper...
Svetla Boytcheva
101
Voted
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
15 years 4 months ago
Multi-Relational Data Mining, Using UML for ILP
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...
129
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IJIT
2004
15 years 1 months ago
Combining ILP with Semi-supervised Learning for Web Page Categorization
This paper presents a semi-supervised learning algorithm called Iterative-Cross Training (ICT) to solve the Web pages classification problems. We apply Inductive logic programming ...
Nuanwan Soonthornphisaj, Boonserm Kijsirikul
ICMLA
2010
14 years 9 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...