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2015 International Conference on Machine Learning and Signal Processing
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 practitione...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-32213-1 http://cds.cern.ch/record/2196665 |
_version_ | 1780951111227670528 |
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author | Soh, Ping Woo, Wai Sulaiman, Hamzah Othman, Mohd Saat, Mohd |
author_facet | Soh, Ping Woo, Wai Sulaiman, Hamzah Othman, Mohd Saat, Mohd |
author_sort | Soh, Ping |
collection | CERN |
description | 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. |
id | cern-2196665 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
spelling | cern-21966652021-04-22T06:41:09Zdoi:10.1007/978-3-319-32213-1http://cds.cern.ch/record/2196665engSoh, PingWoo, WaiSulaiman, HamzahOthman, MohdSaat, Mohd2015 International Conference on Machine Learning and Signal ProcessingEngineeringThis 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.Springeroai:cds.cern.ch:21966652016 |
spellingShingle | Engineering Soh, Ping Woo, Wai Sulaiman, Hamzah Othman, Mohd Saat, Mohd 2015 International Conference on Machine Learning and Signal Processing |
title | 2015 International Conference on Machine Learning and Signal Processing |
title_full | 2015 International Conference on Machine Learning and Signal Processing |
title_fullStr | 2015 International Conference on Machine Learning and Signal Processing |
title_full_unstemmed | 2015 International Conference on Machine Learning and Signal Processing |
title_short | 2015 International Conference on Machine Learning and Signal Processing |
title_sort | 2015 international conference on machine learning and signal processing |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-32213-1 http://cds.cern.ch/record/2196665 |
work_keys_str_mv | AT sohping 2015internationalconferenceonmachinelearningandsignalprocessing AT woowai 2015internationalconferenceonmachinelearningandsignalprocessing AT sulaimanhamzah 2015internationalconferenceonmachinelearningandsignalprocessing AT othmanmohd 2015internationalconferenceonmachinelearningandsignalprocessing AT saatmohd 2015internationalconferenceonmachinelearningandsignalprocessing |