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AAAI
1996
13 years 5 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
TSMC
2002
144views more  TSMC 2002»
13 years 4 months ago
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
This paper introduces a new learning methodology to quickly generate accurate and simple linguistic fuzzy models, the cooperative rules (COR) methodology. It acts on the consequent...
Jorge Casillas, Oscar Cordón, Francisco Her...
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
IJCSS
2000
86views more  IJCSS 2000»
13 years 4 months ago
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produce...
José Cristóbal Riquelme Santos, Jes&...
SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 3 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley