Braverman Readings in Machine Learning. Key Ideas from Inception to Current State
International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks
Editors: Rozonoer, Lev, Mirkin, Boris, Muchnik, Ilya (Eds.)
Free Preview- Oriented at students, developers and practitioners in machine learning and data analysis
- Provides useful insights into the role of parameters
- Interesting to historians
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- About this book
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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. - About the authors
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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.
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Braverman Readings in Machine Learning. Key Ideas from Inception to Current State
- Book Subtitle
- International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks
- Editors
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- Lev Rozonoer
- Boris Mirkin
- Ilya Muchnik
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 11100
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-99492-5
- DOI
- 10.1007/978-3-319-99492-5
- Softcover ISBN
- 978-3-319-99491-8
- Edition Number
- 1
- Number of Pages
- XII, 353
- Number of Illustrations
- 65 b/w illustrations
- Topics
