Methods for feature extraction represent an important stage in statistical pattern recognition applications. In this work we present how to improve classification performance creating a feature fusion framework to combine ...

Inductive machine learning methods learn the expression of the concept from a training set. Training sets are, generally, composed by instances described by attributevalue pairs and an associated class. The attribute set ...

O aumento na utilização de sensores e recursos computacionais tem conduzido a crescente coleta de informações em ambientes industriais e cenários complexos em termos da manipulação e análise dos dados coletados. Neste ...

Classification is the task of assigning data instances to classes. In Hierarchical Multi- label Classification, instances may belong to two or more classes (labels) simultaneously, where the classes are hierarchically ...