Aprender conceitos provenientes de fluxos de dados é uma tarefa significamente diferente
do aprendizado tradicional em lote. No aprendizado em lote, existe uma premissa implicita …

Training a large dataset has become a serious issue for researchers because it requires
large memories and can take a long time for computing. People are trying to process large …

Cette thèse d'informatique en fouille de données et apprentissage automatique s' inscrit
dans le contexte applicatif de la gestion de la relation client (Customer Relationship …

In practical situations, it is of interest to investigate computing approximations of sets as an
important step of knowledge reduction of dynamic covering decision information systems. In …

162◾ Hong-Bo Xie, Hu Huang, and Socrates Dokos and wavelet transform (WT) features,
are extracted from the recorded electromyographic (EMG) signals. Fuzzy support vector …

Context: The problem of obtaining predictions from stream data involves training on the
labeled instances and suggesting the class values for the unseen stream instances. The …

The estimation of distribution algorithm (EDA) aims to explicitly model the probability
distribution of the quality solutions to the underlying problem. By iterative filtering for quality …

When people learn a concept of an object, we rely on many different sensory data.
Depending on one single sensory system can possibly cause some confusion, but …