The Application of Adaptive Partitioned Random Search in Feature Selection Problem

2005 ◽  
pp. 307-314
Author(s):  
Xiaoyan Liu ◽  
Huaiqing Wang ◽  
Dongming Xu
Keyword(s):  
Feature Selection ◽  
Random Search ◽  
Selection Problem ◽  
Feature Selection Problem ◽  
Partitioned Random Search

scholarly journals The GRA-two algorithm for massive-scale feature selection problem in power system scenario classification and prediction

2021 ◽  
Vol 7 ◽  
pp. 293-303
Author(s):  
Yang Wang ◽  
Xinxiong Jiang ◽  
Faqi Yan ◽  
Yu Cai ◽  
Siyang Liao
Keyword(s):  
Feature Selection ◽  
Power System ◽  
Selection Problem ◽  
Feature Selection Problem ◽  
Scale Feature ◽  
Massive Scale

A Heuristic Algorithm for Feature Selection Based on Optimization Techniques

2011 ◽  
pp. 13-26 ◽  
Author(s):  
A. M. Bagirov ◽  
A. M. Rubinov ◽  
J. Yearwood
Keyword(s):  
Feature Selection ◽  
Heuristic Algorithm ◽  
Real World ◽  
Numerical Experiments ◽  
Optimization Techniques ◽  
Selection Problem ◽  
Feature Selection Problem ◽  
Selection Of

The feature selection problem involves the selection of a subset of features that will be sufficient for the determination of structures or clusters in a given dataset and in making predictions. This chapter presents an algorithm for feature selection, which is based on the methods of optimization. To verify the effectiveness of the proposed algorithm we applied it to a number of publicly available real-world databases. The results of numerical experiments are presented and discussed. These results demonstrate that the algorithm performs well on the datasets considered.

scholarly journals Scatter Search for the Feature Selection Problem

2004 ◽  
pp. 517-525 ◽  
Author(s):  
Félix C. García López ◽  
Miguel García Torres ◽  
José A. Moreno Pérez ◽  
J. Marcos Moreno Vega
Keyword(s):  
Feature Selection ◽  
Scatter Search ◽  
Selection Problem ◽  
Feature Selection Problem
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