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Ensemble methods : foundations and algorithms.
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After pr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
CRC Press,
2012.
|
| Colección: | Chapman & Hall/CRC Machine Learning & Pattern Recognition.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
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| 100 | 1 | |a Zhou, Zhi-Hua |c (Computer scientist) |1 https://id.oclc.org/worldcat/entity/E39PBJhMhyc4CcPwT9vQ4b4THC | |
| 245 | 1 | 0 | |a Ensemble methods : |b foundations and algorithms. |
| 260 | |a Hoboken : |b CRC Press, |c 2012. | ||
| 300 | |a 1 online resource (234 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC Machine Learning & Pattern Recognition | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 520 | |a An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity a. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Mathematical analysis. | |
| 650 | 0 | |a Multiple comparisons (Statistics) | |
| 650 | 0 | |a Set theory. | |
| 650 | 6 | |a Analyse mathématique. | |
| 650 | 6 | |a Corrélation multiple (Statistique) | |
| 650 | 6 | |a Théorie des ensembles. | |
| 650 | 7 | |a Mathematical analysis |2 fast | |
| 650 | 7 | |a Multiple comparisons (Statistics) |2 fast | |
| 650 | 7 | |a Set theory |2 fast | |
| 758 | |i has work: |a Ensemble methods (Text) |1 https://id.oclc.org/worldcat/entity/E39PCH9q6m6mQ7P7F6M7DBFbBd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Zhou, Zhi-Hua. |t Ensemble Methods : Foundations and Algorithms. |d Hoboken : CRC Press, ©2012 |z 9781439830031 |
| 830 | 0 | |a Chapman & Hall/CRC Machine Learning & Pattern Recognition. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=952003 |z Texto completo |
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