Now showing items 1-2 of 2
Learning Bayesian network classifiers for multidimensional supervised classification problems by means of a multiobjective approach
A classical supervised classification task tries to predict a single class variable based on a data set composed of a set of labeled examples. However, in many real domains more than one variable could be considered as a ...
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony
Haplotype data is especially important in the study of complex diseases since it contains more information than genotype data. However, obtaining haplotype data is technically difficult and expensive. Computational methods ...