Principles of Nonparametric Learning Book [PDF] Download

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
  • PDF File Size : 15,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Principles of Nonparametric Learning

Principles of Nonparametric Learning
  • Publisher : Springer
  • File Size : 20,6 Mb
  • Release Date : 04 May 2014
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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

A Distribution-Free Theory of Nonparametric Regression

A Distribution-Free Theory of Nonparametric Regression
  • Publisher : Springer Science & Business Media
  • File Size : 34,7 Mb
  • Release Date : 18 April 2006
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This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.

Learning Theory

Learning Theory
  • Publisher : Springer
  • File Size : 55,7 Mb
  • Release Date : 29 September 2006
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This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. The book presents 43 revised full papers together with 2 articles

Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning
  • Publisher : Springer
  • File Size : 44,9 Mb
  • Release Date : 22 March 2011
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Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school

An Elementary Introduction to Statistical Learning Theory

An Elementary Introduction to Statistical Learning Theory
  • Publisher : John Wiley & Sons
  • File Size : 38,9 Mb
  • Release Date : 09 June 2011
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A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical

Learning Theory

Learning Theory
  • Publisher : Springer Science & Business Media
  • File Size : 22,6 Mb
  • Release Date : 20 June 2005
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This book constitutes the refereed proceedings of the 18th Annual Conference on Learning Theory, COLT 2005, held in Bertinoro, Italy in June 2005. The 45 revised full papers together with three articles on

Learning Theory

Learning Theory
  • Publisher : Springer
  • File Size : 48,9 Mb
  • Release Date : 11 June 2004
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This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and

Smoothing of Multivariate Data

Smoothing of Multivariate Data
  • Publisher : John Wiley & Sons
  • File Size : 47,6 Mb
  • Release Date : 04 September 2009
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An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects

From Data and Information Analysis to Knowledge Engineering

From Data and Information Analysis to Knowledge Engineering
  • Publisher : Springer Science & Business Media
  • File Size : 35,9 Mb
  • Release Date : 09 February 2006
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This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany,

Geometric Aspects of Functional Analysis

Geometric Aspects of Functional Analysis
  • Publisher : Springer
  • File Size : 39,7 Mb
  • Release Date : 30 August 2004
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The Israeli GAFA seminar (on Geometric Aspect of Functional Analysis) during the years 2002-2003 follows the long tradition of the previous volumes. It reflects the general trends of the theory.