ENSEMBLE LEARNING (2ND ED) - Rokach Lior
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Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
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 set ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Rokach Lior |
|---|---|
| Izdevējs | World Scientific |
| Izlaides gads | 2019 |
| Vāka tips | Cietais vāks |
| EAN | 9789811201950 |