Ensemble methods foundations and algorithms
This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of research in ensemble meth...
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL :
Taylor & Francis
2012.
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| Edition: | 1st ed |
| Series: | Chapman & Hall/CRC machine learning & pattern recognition series.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755216806719 |
Table of Contents:
- Front Cover; Preface; Notations; Contents; 1. Introduction; 2. Boosting; 3. Bagging; 4. Combination Methods; 5. Diversity; 6. Ensemble Pruning; 7. Clustering Ensembles; 8. Advanced Topics; References
