Technology, Engineering, Agriculture, Industrial Processes, Electronics and Communications Engineering, Electronics Engineering
Principles of Nonparametric Learning

Principles of Nonparametric Learning

Paperback Published on: 30/07/2002
£119.99
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Synopsis

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 estimation and genetic programming.
The book is mainly addressed to postgraduates in engineering, mathematics, computer science, and researchers in universities and research institutions.

Publisher information

  • Publisher: Springer Vienna
  • ISBN: 9783211836880
  • Number of pages: 335
  • Dimensions: 230 x 165 x 19 mm
  • Weight: 604g
  • Languages: English