Binary Pso and Rough Set Theory for Feature Selection: A Multi-Objective Filter Based Approach

International Journal of Computational Intelligence and Applications - Singapore
doi 10.1142/s1469026814500096
Full Text
Abstract

Available in full text

Date
Authors
Publisher

World Scientific Pub Co Pte Lt

Related search

Feature Selection Based on Hybrid Binary Cuckoo Search and Rough Set Theory in Classification for Nominal Datasets

International Journal of Information Technology and Computer Science
2017English

Multi-Objective Evolutionary Algorithms for Filter Based Feature Selection in Classification

International Journal on Artificial Intelligence Tools
Artificial Intelligence
2013English

A Novel Approach of Feature Selection Based on Decision-Theoretic Rough Set Model

Information Technology Journal
2013English

A Novel Discrete Artificial Bee Colony Algorithm for Rough Set-Based Feature Selection

International Journal of Advancements in Computing Technology
2012English

Binary PSO-based Dynamic Multi-Objective Model for Distributed Generation Planning Under Uncertainty

IET Renewable Power Generation
Renewable Energythe EnvironmentSustainability
2012English

A Novel Soft Set Approach for Feature Selection

International Journal of Database Theory and Application
Computer Science
2016English

Feature Selection on the Basis of Rough Set Theory and Univariate Marginal Distribution Algorithm

2017English

Constructing Minimal Spanning Tree Based on Rough Set Theory for Gene Selection

International Journal of Artificial Intelligence & Applications
2013English

PSO for Multi-Objective Problems: Criteria for Leader Selection and Uniformity Distribution

Journal of Artificial Intelligence and Data Mining
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy