Lectures on the Nearest Neighbor Method
Lectures on the Nearest Neighbor Method
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Summary
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 | Unavailable |
| ISBN 13 | 9783319253862 |
| ISBN 10 | 3319253867 |
| Title | Lectures on the Nearest Neighbor Method |
| Author | Luc Devroye |
| Series | Springer Series In The Data Sciences |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2015-12-15 |
| Number of pages | 290 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |