Advances in Machine Learning and Signal Processing | Proceedings of MALSIP 2015

Ping Jack Soh (u. a.)

ISBN 10: 3319812254 / ISBN 13: 9783319812250

Published by Springer, 2018

About this Item

Advances in Machine Learning and Signal Processing | Proceedings of MALSIP 2015 | Ping Jack Soh (u. a.) | Taschenbuch | Lecture Notes in Electrical Engineering | ix | Englisch | 2018 | Springer | EAN 9783319812250 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 114226378

Bibliographic Details

• Title: Advances in Machine Learning and Signal Processing | Proceedings of MALSIP 2015
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319812254
• ISBN 13: 9783319812250
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 18D millimeters 235 millimeters width by 155 millimeters height by 18 millimeters depth
• Weight: 493 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range of topics relating to machine learning and signal processing techniques and their applications are addressed in order to provide both researchers and practitioners with a valuable resource documenting the latest advances and trends. The book comprises a careful selection of the papers submitted to the 2015 International Conference on Machine Learning and Signal Processing (MALSIP 2015), which was held on 15–17 December 2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers, academicians, and practitioners an ideal opportunity to disseminate their findings and achievements. All of the included contributions were chosen by expert peer reviewers from across the world on the basis of their interest to the community. In addition to presenting the latest in design, development, and research, the book provides access to numerous new algorithms for machine learning and signal processing for engineering problems.