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EMO
2006
Springer
120views Optimization» more  EMO 2006»
13 years 7 months ago
Rule Induction for Classification Using Multi-objective Genetic Programming
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
Alan P. Reynolds, Beatriz de la Iglesia
KBS
2002
141views more  KBS 2002»
13 years 5 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
IEEEICCI
2002
IEEE
13 years 10 months ago
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-...
KR
2004
Springer
13 years 10 months ago
Inductive Situation Calculus
Temporal reasoning has always been a major test case for knowledge representation formalisms. In this paper, we develop an inductive variant of the situation calculus using the Lo...
Marc Denecker, Eugenia Ternovska
IFIP12
2010
13 years 3 months ago
Rule Learning with Negation: Issues Regarding Effectiveness
: An investigation of rule learning processes that allow the inclusion of negated features is described. The objective is to establish whether the use of negation in inductive rule...
Stephanie Chua, Frans Coenen, Grant Malcolm