Dynamic Feature Selection selects the best feature subset for each individual instance. In
other words, each instance will be classified using its own feature subset. Recently, this idea …

Feature selection has become a mandatory step in several data exploration and Machine
Learning applications since data quality can have a strong impact in the performance of …

In this paper, we propose a novel approach for dynamic feature selection to be applied in
classifier ensembles. This method selects the best attribute subsets for an individual …

DOTA 2 is a Multiplayer Online Battle Arena game, which was released in 2013 and
currently has approximately one million players worldwide. In this work, we approach the …

The use of dynamic selection techniques in classifier ensembles, for attributes or member
selection, has appeared in several studies in the literature as a mechanism to increase …

The aim of this paper is to investigate the use of Dynamic Feature Selection in classifier
ensembles, aiming at improving its diversity and the performance of these systems. In order …

A feature selection method has the objective of selecting the best feature subset that
represents the entire dataset. The majority of these methods apply a static selection …

Com o rápido crescimento de dados complexos em aplicações do mundo real, a seleção de
atributos se torna uma etapa de pré-processamento obrigatória em qualquer aplicação para …