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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 (Paperback, 1st ed. 2018) Loot Price: R1,427
Discovery Miles 14 270
Repayment Terms: R134 pm x 12*
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Braverman Readings in Machine Learning. Key Ideas from Inception to Current State - International Conference Commemorating the...

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 (Paperback, 1st ed. 2018)

Lev Rozonoer, Boris Mirkin, Ilya Muchnik

Series: Lecture Notes in Computer Science, 11100

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Loot Price R1,427 Discovery Miles 14 270 | Repayment Terms: R134 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 11100
Release date: August 2018
First published: 2018
Editors: Lev Rozonoer • Boris Mirkin • Ilya Muchnik
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 353
Edition: 1st ed. 2018
ISBN-13: 978-3-319-99491-8
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-319-99491-3
Barcode: 9783319994918

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