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Braverman Readings In Machine Learning Key Ideas From Inception To Current State International Conference Commemorating The 40th Anniversary Of Emmanuil Bravermans Decease Boston Ma Usa April 2830 2017 Invited Talks 1st Ed Lev Rozonoer

  • SKU: BELL-7325576
Braverman Readings In Machine Learning Key Ideas From Inception To Current State International Conference Commemorating The 40th Anniversary Of Emmanuil Bravermans Decease Boston Ma Usa April 2830 2017 Invited Talks 1st Ed Lev Rozonoer
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Braverman Readings In Machine Learning Key Ideas From Inception To Current State International Conference Commemorating The 40th Anniversary Of Emmanuil Bravermans Decease Boston Ma Usa April 2830 2017 Invited Talks 1st Ed Lev Rozonoer instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 18.84 MB
Author: Lev Rozonoer, Boris Mirkin, Ilya Muchnik
ISBN: 9783319994918, 9783319994925, 9782018952243, 2018952242, 3319994913, 3319994921
Language: English
Year: 2018
Edition: 1st ed.

Product desciption

Braverman Readings In Machine Learning Key Ideas From Inception To Current State International Conference Commemorating The 40th Anniversary Of Emmanuil Bravermans Decease Boston Ma Usa April 2830 2017 Invited Talks 1st Ed Lev Rozonoer by Lev Rozonoer, Boris Mirkin, Ilya Muchnik 9783319994918, 9783319994925, 9782018952243, 2018952242, 3319994913, 3319994921 instant download after payment.

This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing machine learning theory.
The 12 revised full papers and 4 short papers included in this volume were presented at the conference "Braverman Readings in Machine Learning: Key Ideas from Inception to Current State" held in Boston, MA, USA, in April 2017, commemorating the 40th anniversary of Emmanuil Braverman's decease. The papers present an overview of some of Braverman's ideas and approaches.
The collection is divided in three parts. The first part bridges the past and the present and covers the concept of kernel function and its application to signal and image analysis as well as clustering. The second part presents a set of extensions of Braverman's work to issues of current interest both in theory and applications of machine learning. The third part includes short essays by a friend, a student, and a colleague.

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