This correspondence presents a novel hybrid wrapper and filter feature selection algorithm for a classification problem using a memetic framework. It incorporates a filter ranking method in the traditional genetic algorithm to improve classification performance and accelerate the search in identifyi
✦ LIBER ✦
Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework
✍ Scribed by Zexuan Zhu; Yew-Soon Ong; Dash, M.
- Book ID
- 117938604
- Publisher
- IEEE
- Year
- 2007
- Tongue
- English
- Weight
- 533 KB
- Volume
- 37
- Category
- Article
- ISSN
- 1083-4419
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Wrapper–Filter Feature Selection Algorit
✍
Zexuan Zhu; Yew-Soon Ong; Dash, M.
📂
Article
📅
2007
🏛
IEEE
🌐
English
⚖ 533 KB
A hybrid filter/wrapper approach of feat
✍
Marc Sebban; Richard Nock
📂
Article
📅
2002
🏛
Elsevier Science
🌐
English
⚖ 138 KB
We focus on a hybrid approach of feature selection. We begin our analysis with a ÿlter model, exploiting the geometrical information contained in the minimum spanning tree (MST) built on the learning set. This model exploits a statistical test of relative certainty gain, used in a forward selection
A new wrapper feature selection approach
✍
Md. Monirul Kabir; Md. Monirul Islam; Kazuyuki Murase
📂
Article
📅
2010
🏛
Elsevier Science
🌐
English
⚖ 469 KB
Feature selection for face recognition:
✍
Dinesh Kumar; Shakti Kumar; C. S. Rai
📂
Article
📅
2009
🏛
SP Zhejiang University Press
🌐
English
⚖ 279 KB
A hybrid genetic algorithm for feature s
✍
Jinjie Huang; Yunze Cai; Xiaoming Xu
📂
Article
📅
2007
🏛
Elsevier Science
🌐
English
⚖ 356 KB
Feature subset selection using a genetic
✍
Yang, J.; Honavar, V.
📂
Article
📅
1998
🏛
IEEE
🌐
English
⚖ 733 KB