Loading…
Recent Advances in Ensembles for Feature Selection
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and eval...
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
| Edition: | 1st ed. 2018. |
| Series: | Intelligent Systems Reference Library,
147 |
| Subjects: | |
| Online Access: | Full-text access |
Table of Contents:
- Basic concepts
- Feature selection
- Foundations of ensemble learning
- Ensembles for feature selection
- Combination of outputs
- Evaluation of ensembles for feature selection
- Other ensemble approaches
- Applications of ensembles versus traditional approaches: experimental results
- Software tools
- Emerging Challenges. .