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

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Braverman Readings in Machine Learning. Key Ideas from Inception to Current State by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319994925
Publisher: Springer International Publishing Publication: August 30, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319994925
Publisher: Springer International Publishing
Publication: August 30, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book A Rights-Based Approach to Social Policy Analysis by
Cover of the book Slow Viscous Flow by
Cover of the book Researching the History of Mathematics Education by
Cover of the book Management of Water Quality in Moldova by
Cover of the book Gerontorheumatology by
Cover of the book The Ocean in Motion by
Cover of the book Five Design-Sheets: Creative Design and Sketching for Computing and Visualisation by
Cover of the book JRuby Rails Web Application Development by
Cover of the book AETA 2015: Recent Advances in Electrical Engineering and Related Sciences by
Cover of the book Educational Contexts and Borders through a Cultural Lens by
Cover of the book Natural Language Processing and Information Systems by
Cover of the book Soil Security for Ecosystem Management by
Cover of the book Computer Safety, Reliability, and Security by
Cover of the book Representation and Reality in Humans, Other Living Organisms and Intelligent Machines by
Cover of the book The Visual Neuroscience of Robotic Grasping by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy