A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
This paper presents an approach that integrates computational intelligence/soft computing paradigms with clinical investigation methods and knowledge. Computational intelligence m...
Nicolae Varachiu, Cynthia Karanicolas, Mihaela Uli...
Here we investigate an extension of a previously suggested "automatic amide I frequency selection procedure" where we introduce an additional criterion utilizing empiric...
Joachim A. Hering, Peter R. Innocent, Parvez I. Ha...