Ensemble feature selection: Homogeneous and heterogeneous approaches
B Seijo-Pardo, I Porto-Díaz, V Bolón-Canedo… - Knowledge-Based …, 2017 - Elsevier
In the last decade, ensemble learning has become a prolific discipline in pattern recognition,
based on the assumption that the combination of the output of several models obtains better …
based on the assumption that the combination of the output of several models obtains better …
Preprocessing in high dimensional datasets
A Alonso-Betanzos, V Bolón-Canedo… - Advances in Biomedical …, 2018 - Springer
In the last few years, we have witnessed the advent of Big Data and, more specifically, Big
Dimensionality, which refers to the unprecedented number of features that are rendering …
Dimensionality, which refers to the unprecedented number of features that are rendering …