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 Practical Atlas of Transplant Pathology by
Cover of the book Basic Radiotherapy Physics and Biology by
Cover of the book New Composite Materials by
Cover of the book Popular High Culture in Italian Media, 1950–1970 by
Cover of the book Recommendation and Search in Social Networks by
Cover of the book New Trends in Shape Optimization by
Cover of the book Social Networks and Surveillance for Society by
Cover of the book Neuro-Immuno-Gastroenterology by
Cover of the book Integrated Uncertainty in Knowledge Modelling and Decision Making by
Cover of the book Theory of Distributions by
Cover of the book Informatics in Schools: Focus on Learning Programming by
Cover of the book Neuroradiology - Expect the Unexpected by
Cover of the book Subsidies in the Context of the WTO's Free Trade System by
Cover of the book Investigation into High Efficiency Visible Light Photocatalysts for Water Reduction and Oxidation by
Cover of the book Universal Access in Human-Computer Interaction. Theory, Methods and Tools 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