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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Intelligent Systems Reference Library,
147 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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. .