Principles of nonparametric learning /

The book provides systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density esti...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Györfi, László
Format: eBook
Language:English
Published: Wien ; New York : Springer, [2002]
Series:Courses and lectures ; no. 434.
Subjects:
Online Access:Connect to the full text of this electronic book
Search Result 1
Published 2002
Book