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» Learning First Order Logic Rules with a Genetic Algorithm
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ECAI
2004
Springer
15 years 1 months ago
Bias Windowing for Relational Learning
A central issue in relational learning is the choice of an appropriate bias for limiting first-order induction. The purpose of this study is to circumvent this issue within a unifo...
Frédéric Koriche
92
Voted
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 3 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski
ICDE
2007
IEEE
145views Database» more  ICDE 2007»
15 years 11 months ago
Fast Identification of Relational Constraint Violations
Logical constraints, (e.g., 'phone numbers in toronto can have prefixes 416, 647, 905 only'), are ubiquitous in relational databases. Traditional integrity constraints, ...
Amit Chandel, Nick Koudas, Ken Q. Pu, Divesh Sriva...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
15 years 3 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester