Braverman Readings in Machine Learning. Key Ideas from Inception to Current State: International Conference Commemorating the 40th Anniversary of ... (Lecture Notes in Computer Science, 11100) - Softcover

Softcover

ISBN 10: 3319994913 ISBN 13: 9783319994918

Publisher: Springer, 2018

Synopsis

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 essaysby a friend, a student, and a colleague.

About this title

About the Author

Lev Rozonoer, West Newton, MA, USA;

Boris Mirkin, National Research University Higher School of Economics, Moscow, Russian Federation;

Ilya Muchnik, Rutgers University, Piscataway, NJ, USA.

From the Back Cover

This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing the 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. Its main contents relate to 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.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3319994913
• ISBN 13: 9783319994918
• Binding: Paperback
• Edition number: 1
• Number of pages: 365
• Editor: Rozonoer Lev, Mirkin Boris, Muchnik Ilya