Košík
zboží
(prázdné)
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. Both research workers and graduate students will benefit from this wide-ranging and...
číst celé
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. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
schovat popis
- Nakladatel: Springer-Verlag New York Inc.
- Kód:
- Rok vydání: 1996
- Jazyk: Angličtina
- Vazba: Vázaná
- Počet stran: 638
- Šířka balení: 24.3 cm
- Výška balení: 16.6 cm
- Hloubka balení: 3.9 cm
- Váha balení: 1.2 kg
Recenze