Principles of Nonparametric Learning is popular PDF and ePub book, written by László Györfi in 2002-07-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Principles of Nonparametric Learning can be Read Online from any device for your convenience.
Principles of Nonparametric Learning Book PDF Summary
This volume provides a 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.
Detail Book of Principles of Nonparametric Learning PDF
- Author : László Györfi
- Release : 30 July 2002
- Publisher : Springer Science & Business Media
- ISBN : 3211836888
- Genre : Technology & Engineering
- Total Page : 350 pages
- Language : English
- PDF File Size : 17,5 Mb
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