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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...
| Asıl Yazarlar: | , |
|---|---|
| Müşterek Yazar: | |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
| Edisyon: | 1st ed. 2018. |
| Seri Bilgileri: | Intelligent Systems Reference Library,
147 |
| Konular: | |
| Online Erişim: | Full-text access |
İçindekiler:
- 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. .