Lectures on the Nearest Neighbor Method
Lectures on the Nearest Neighbor Method
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Résumé
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 | Non disponible |
| ISBN 13 | 9783319253862 |
| ISBN 10 | 3319253867 |
| Titre | Lectures on the Nearest Neighbor Method |
| Auteur | Luc Devroye |
| Série | Springer Series In The Data Sciences |
| État | Non disponible |
| Type de reliure | Hardback |
| Éditeur | Springer International Publishing AG |
| Année de publication | 2015-12-15 |
| Nombre de pages | 290 |
| Note de couverture | La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier. |
| Note | Non disponible |