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ILP
2004
Springer
14 years 1 months ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
DATESO
2004
100views Database» more  DATESO 2004»
13 years 10 months ago
Storage and Retrieval of First Order Logic Terms in a Database
In this paper we present a storage method for sets of first order logic terms in a relational database using function symbols based indexing method of Discrimination trees. This is...
Peter Gurský
KDD
1995
ACM
112views Data Mining» more  KDD 1995»
14 years 2 days ago
Learning First Order Logic Rules with a Genetic Algorithm
This paper introduces a newalgorithm called SIAO1 for learning first order logic rules withgenetic algorithms. SIAO1uses the covering principle developed in AQwhereseed examplesar...
Sébastien Augier, Gilles Venturini, Yves Ko...
CORR
2008
Springer
112views Education» more  CORR 2008»
13 years 8 months ago
Compact Labelings For Efficient First-Order Model-Checking
We consider graph properties that can be checked from labels, i.e., bit sequences, of logarithmic length attached to vertices. We prove that there exists such a labeling for check...
Bruno Courcelle, Cyril Gavoille, Mamadou Moustapha...
JAR
2010
98views more  JAR 2010»
13 years 3 months ago
Proof-Guided Test Selection from First-Order Specifications with Equality
This paper deals with test case selection from axiomatic specifications whose axioms are quantifier-free first-order formulas with equality. We first prove the existence of an ide...
Delphine Longuet, Marc Aiguier, Pascale Le Gall