Isbn: 9783319253862 - lectures on the nearest neighbor method (springer series in the data sciences) (14 resultados)

Hardcover. Condición: As New. 1. Auflage. unread, like new - will be dispatched immediately.

Condición: New. In English.

Condición: New.

Gebunden. Condición: New.

Hardback. Condición: New. 1st ed. 2015. 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).…

Condición: New. pp. 274.

Hardcover. Condición: Brand New. 299 pages. 9.25x6.25x0.75 inches. In Stock.

Hardback. Condición: New. 1st ed. 2015. 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).…

Condición: new. Questo è un articolo print on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 300 pp. Englisch.…

Condición: New. Print on Demand pp. 274.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.…

Condición: New. PRINT ON DEMAND pp. 274.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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).…