Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences) - Tapa dura

Biau

 
9783319253862: Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

Sinopsis

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.

Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

    

De la contraportada

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.

Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9783319797823: Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

Edición Destacada

ISBN 10:  3319797824 ISBN 13:  9783319797823
Editorial: Springer, 2019
Tapa blanda