Lectures on the Nearest Neighbor Method
Lectures on the Nearest Neighbor Method
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Zusammenfassung
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning.
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Lectures on the Nearest Neighbor Method by Luc Devroye
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning.
“This book deals with different aspects regarding this approach, starting with the standard k-nearest neighbor model, and passing through the weighted k-nearest neighbor model, estimations for entropy, regression functions etc… It is intended for a large audience, including students, teachers, and researchers.” (Florin Gorunescu, zbMATH 1330.68001, 2016)
| SKU | Nicht verfügbar |
| ISBN 13 | 9783319253862 |
| ISBN 10 | 3319253867 |
| Titel | Lectures on the Nearest Neighbor Method |
| Autor | Luc Devroye |
| Serie | Springer Series In The Data Sciences |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Hardback |
| Verlag | Springer International Publishing AG |
| Erscheinungsjahr | 2015-12-15 |
| Seitenanzahl | 290 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |