Download the fantastic book titled Principles of Nonparametric Learning written by Laszlo Györfi, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Principles of Nonparametric Learning", which was released on 04 May 2014. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Principles of Nonparametric Learning by Laszlo Györfi PDF
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 About Principles of Nonparametric Learning PDF
- Author : Laszlo Györfi
- Publisher : Springer
- Genre : Technology & Engineering
- Total Pages : 344 pages
- ISBN : 3709125685
- Release Date : 04 May 2014
- PDF File Size : 15,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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