Handbook of statistics Volume 31, Machine learning : theory and applications Volume 31, Machine learning :
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong f...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Elsevier
2013.
Oxford : 2013. |
| Edición: | 1st ed |
| Colección: | Handbook of statistics (Amsterdam, Netherlands) ;
v. 31. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628852006719 |
| Sumario: | Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field. The Handbook is divi |
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| Notas: | "ISSN: 0169-7161." |
| Descripción Física: | 1 online resource (xxiii, 525 pages) : illustrations (some color) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780444538666 |
