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BBA: A binary bat algorithm for feature selection
(2012-12-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a ...
BBA: A binary bat algorithm for feature selection
(2012-12-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a ...
Boosting optimum-path forest clustering through harmony Search and its applications for intrusion detection in computer networks
(2012-12-01)
In this paper we propose a nature-inspired approach that can boost the Optimum-Path Forest (OPF) clustering algorithm by optimizing its parameters in a discrete lattice. The experiments in two public datasets have shown ...
Boosting optimum-path forest clustering through harmony Search and its applications for intrusion detection in computer networks
(2012-12-01)
In this paper we propose a nature-inspired approach that can boost the Optimum-Path Forest (OPF) clustering algorithm by optimizing its parameters in a discrete lattice. The experiments in two public datasets have shown ...
Exaustão algorítmica: influenciadores digitais, trabalho de plataforma e saúde mentalAlgorithmic exhaustion: digital influencers, platform work, and mental healthAgotamiento algorítmico: influencers digitales, trabajo en plataformas y salud mental
(Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde., 2023)
Binary Bat Algorithm for Feature Selection
(2013-08-29)
Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions ...