Kód: 02643440
A Probabilistic Theory of Pattern Recognition, 1
Autor Luc Devroye, László Györfi, Gabor Lugosi
A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter con ... celý popis
- Jazyk:
Angličtina - Väzba: Brožovaná
- Počet strán: 638
Nakladateľ: Springer, Berlin, 2013
- Viac informácií o knihe
111.67 €
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Viac informácií o knihe A Probabilistic Theory of Pattern Recognition, 1
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Anotácia knihy
A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
Parametre knihy
Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence
111.67 €
- Celý názov: A Probabilistic Theory of Pattern Recognition, 1
- Autor: Luc Devroye, László Györfi, Gabor Lugosi
- Jazyk: Angličtina
- Väzba: Brožovaná
- Počet strán: 638
- EAN: 9781461268772
- ISBN: 146126877X
- ID: 02643440
- Nakladateľ: Springer, Berlin
- Hmotnosť: 997 g
- Rozmery: 235 × 155 × 35 mm
- Dátum vydania: 22. November 2013
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