Advances in Machine Learning and Signal Processing

Proceedings of MALSIP 2015

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Electronics
Cover of the book Advances in Machine Learning and Signal Processing 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: 9783319322131
Publisher: Springer International Publishing Publication: June 18, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319322131
Publisher: Springer International Publishing
Publication: June 18, 2016
Imprint: Springer
Language: English

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.

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

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.

More books from Springer International Publishing

Cover of the book Discrete-Time Optimal Control and Games on Large Intervals by
Cover of the book Application of Modified Atmosphere Packaging on Quality of Selected Vegetables by
Cover of the book Pre-Hospital Anesthesia Handbook by
Cover of the book Advances in Condition Monitoring of Machinery in Non-Stationary Operations by
Cover of the book Jacobi Forms, Finite Quadratic Modules and Weil Representations over Number Fields by
Cover of the book Electric Vehicle Sharing Services for Smarter Cities by
Cover of the book Big Data Analytics and Knowledge Discovery by
Cover of the book Kala Azar in South Asia by
Cover of the book Hypertension and Brain Damage by
Cover of the book Sustainable Agriculture Reviews 33 by
Cover of the book Intelligent Decision Support Systems for Sustainable Computing by
Cover of the book Numerical Simulations of Coupled Problems in Engineering by
Cover of the book Rat Experimental Transplantation Surgery by
Cover of the book Turnpike Phenomenon and Infinite Horizon Optimal Control by
Cover of the book Advances in Cryptology – EUROCRYPT 2019 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