Ensemble learning: pattern classification using ensemble methods
"This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Publishing Company Pte Limited
2019
|
| Ausgabe: | 2nd ed |
| Schriftenreihe: | Series in machine perception and artificial intelligence
v. 85 |
| Schlagworte: | |
| Online-Zugang: | UBY01 URL des Erstveröffentlichers |
| Zusammenfassung: | "This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced. Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized. The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods."-- |
| Beschreibung: | Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader. - 2010 edition entitled: Pattern classification using ensemble methods |
| Beschreibung: | 1 online resource (300 pages) illustrations |
| ISBN: | 9789811201967 |
Internformat
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| 300 | |a 1 online resource (300 pages) |b illustrations | ||
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| 500 | |a Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader. - 2010 edition entitled: Pattern classification using ensemble methods | ||
| 505 | 8 | |a Includes bibliographical references and index | |
| 520 | |a "This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced. Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized. The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods."-- | ||
| 650 | 4 | |a Pattern recognition systems | |
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| 650 | 4 | |a Machine learning | |
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Datensatz im Suchindex
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| author | Rokach, Lior |
| author_facet | Rokach, Lior |
| author_role | aut |
| author_sort | Rokach, Lior |
| author_variant | l r lr |
| building | Verbundindex |
| bvnumber | BV046807627 |
| collection | ZDB-124-WOP |
| contents | Includes bibliographical references and index |
| ctrlnum | (ZDB-124-WOP)00011325 (OCoLC)1190674771 (DE-599)BVBBV046807627 |
| edition | 2nd ed |
| format | Electronic eBook |
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| id | DE-604.BV046807627 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:58:00Z |
| indexdate | 2024-07-10T08:54:24Z |
| institution | BVB |
| isbn | 9789811201967 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032216252 |
| oclc_num | 1190674771 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 online resource (300 pages) illustrations |
| psigel | ZDB-124-WOP |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | World Scientific Publishing Company Pte Limited |
| record_format | marc |
| series2 | Series in machine perception and artificial intelligence |
| spelling | Rokach, Lior Verfasser aut Ensemble learning pattern classification using ensemble methods Lior Rokach Pattern classification using ensemble methods 2nd ed Singapore World Scientific Publishing Company Pte Limited 2019 1 online resource (300 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Series in machine perception and artificial intelligence v. 85 Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader. - 2010 edition entitled: Pattern classification using ensemble methods Includes bibliographical references and index "This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced. Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized. The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods."-- Pattern recognition systems Algorithms Machine learning Electronic books Erscheint auch als Druck-Ausgabe 9789811201950 https://www.worldscientific.com/worldscibooks/10.1142/11325 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Rokach, Lior Ensemble learning pattern classification using ensemble methods Includes bibliographical references and index Pattern recognition systems Algorithms Machine learning |
| title | Ensemble learning pattern classification using ensemble methods |
| title_alt | Pattern classification using ensemble methods |
| title_auth | Ensemble learning pattern classification using ensemble methods |
| title_exact_search | Ensemble learning pattern classification using ensemble methods |
| title_exact_search_txtP | Ensemble learning pattern classification using ensemble methods |
| title_full | Ensemble learning pattern classification using ensemble methods Lior Rokach |
| title_fullStr | Ensemble learning pattern classification using ensemble methods Lior Rokach |
| title_full_unstemmed | Ensemble learning pattern classification using ensemble methods Lior Rokach |
| title_short | Ensemble learning |
| title_sort | ensemble learning pattern classification using ensemble methods |
| title_sub | pattern classification using ensemble methods |
| topic | Pattern recognition systems Algorithms Machine learning |
| topic_facet | Pattern recognition systems Algorithms Machine learning |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11325 |
| work_keys_str_mv | AT rokachlior ensemblelearningpatternclassificationusingensemblemethods AT rokachlior patternclassificationusingensemblemethods |