Two methods of detecting and tracking objects in color video are presented. Color and edge
histograms are explored as ways to model the background and foreground of a scene. The …

Multi-objective metaheuristics have previously been applied to partial classification, where
the objective is to produce simple, easy to understand rules that describe subsets of a class …

Evolutionary algorithms are powerful optimisation methods and have been applied
successfully in many scientific areas including life sciences. However, they have high …

For a given data set, different learning algorithms typically provide different classifiers.
Although it is possible to simply select the most successful classifier, the less successful …

The extraction of comprehensible and general classifiers from data in the form of rule
systems is an important task within many problem domains. This thesis proposes and …

A maioria dos algoritmos de aprendizado de máquina simbólico utilizam regras de
conhecimento if-then como linguagem de descrição para expressar o conhecimento …

Supervised classification is a particular data-mining task that forms part of the knowledge
discovery process. Its objectives are to extract accurate, comprehensible and interesting …

Model extraction from data has at least three objectives. It aims to produce accurate,
comprehensible and interesting models. Hence, multi-objective evolutionary algorithms are …

A qualidade das hipóteses induzidas pelos atuais sistemas de aprendizado de máquina
supervisionado depende da quantidade dos exemplos no conjunto de treinamento. Por …