Los repositorios de datos permiten el desarrollo de investigaciones, el descubrimiento de
conocimiento y la prueba de nuevos algoritmos de aprendizaje. El presente trabajo tiene …

In this paper, we propose a new design of a very simple data-driven binary classifier and
conduct an empirical study of its performance. The data contain continuous and categorical …

This study presents a multidimensional classifier design using a fuzzy brain emotional
learning model, combined with a particle swarm optimization (PSO) algorithm that allows a …

The paper reviews classification algorithms based on Gene Expression Programming (GEP)
used for mining the real-life datasets. Our aim is to show, chronologically, most important …

The paper investigates a Gene Expression Programming (GEP)-based ensemble classifier
constructed using the stacked generalization concept. The classifier has been implemented …

Multi-view learning analyzes the information from several perspectives and has largely been
applied on semi-supervised contexts. It has not been extensively analyzed for inducing …

Multi-objective evolutionary algorithms have been criticized when they are applied to
classification rule mining, and, more specifically, in the optimization of more than two …

Metaheuristics are well known approaches to solve efficiently hard optimization problems.
Furthermore, the automatic generation of computer programs using metaheuristics as …

利用智能优化算法挖掘模糊分类规则能够解决模糊前件参数和无关项的组合优化问题,
但也存在依赖初始规则以及更新过程无指导等缺陷, 导致分类精度难以保证. 为此 …

Among the large amount of genes presented in microarray gene expression data, only a
small fraction of them is effective for performing a certain diagnostic test. It is for this reason …