Albert Orriols-Puig

lcs learning xcs class-imbalance-problem systems rules association machine ga rare-clases classifier reinforcement gfs fuzzy genetic clustering bayesian-decision-theory probability-based learners ibk instance-based decision trees id3 c4.5 data-complexity es association rules fuzzy logic ucs fuzzy-ucs intelligence artificial evolutionary-multi-objective q-learning partitional hierarchical applications class quantitative sequential generalized fp-growth apriori machines fitness-sharing marketing csar synthetic-datasets neural network support vector naïve-bayes cbr facetwise-analysis problems paradigms approximate-representation linguistic-representation artificial-data crossover modelado-consumidor theory rare-classes fuzzy-logics substructural-learning fitness-surrogates