Advances in Machine Learning and Signal Processing: Proceedings of MALSIP 2015: 387 (Lecture Notes in Electrical Engineering) - Tapa blanda

9783319812250: Advances in Machine Learning and Signal Processing: Proceedings of MALSIP 2015: 387 (Lecture Notes in Electrical Engineering)

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ISBN 10: 3319812254 ISBN 13: 9783319812250

Editorial: Springer, 2018

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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.

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Thisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 1517 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems.

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EditorialSpringer
A�o de publicaci�n2018
ISBN 10 3319812254
ISBN 13 9783319812250
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de p�ginas324
EditorSoh Ping Jack, Woo Wai Lok, Sulaiman Hamzah Asyrani, Othman Mohd Azlishah, Saat Mohd Shakir
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9783319322124: Advances in Machine Learning and Signal Processing: Proceedings of MALSIP 2015: 387 (Lecture Notes in Electrical Engineering)

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ISBN 10: 3319322125 ISBN 13: 9783319322124
Editorial: Springer, 2016
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Advances in Machine Learning and Signal Processing

Soh, Ping Jack|Woo, Wai Lok|Sulaiman, Hamzah Asyrani|Othman, Mohd Azlishah|Saat, Mohd Shakir

Publicado por Springer International Publishing, 2018

ISBN 10: 3319812254 ISBN 13: 9783319812250

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presentsthe latest research findings and innovations in the field of machine learningand signal processing Covers awide range of topicsIdentifiesfuture research directionsProvidesaccess to numerous new algorithms&nbspThisboo. N� de ref. del art�culo: 448756119

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Advances in Machine Learning and Signal Processing

Ping Jack Soh

Publicado por Springer International Publishing Mai 2018, 2018

ISBN 10: 3319812254 ISBN 13: 9783319812250

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Thisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 15-17 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems. 324 pp. Englisch. N� de ref. del art�culo: 9783319812250

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

Ping Jack Soh

Publicado por Springer International Publishing, Springer International Publishing, 2018

ISBN 10: 3319812254 ISBN 13: 9783319812250

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 15-17 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems. N� de ref. del art�culo: 9783319812250

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Advances in Machine Learning and Signal Processing: Proceedings of MALSIP 2015 (Lecture Notes in Electrical Engineering, 387)

Publicado por Springer, 2018

ISBN 10: 3319812254 ISBN 13: 9783319812250

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Librería: Ria Christie Collections, Uxbridge, Reino Unido

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Condici�n: New. In. N� de ref. del art�culo: ria9783319812250_new

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Advances in Machine Learning and Signal Processing

Ping Jack Soh

Publicado por Springer International Publishing, Springer International Publishing Mai 2018, 2018

ISBN 10: 3319812254 ISBN 13: 9783319812250

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Neuware -Thisbook 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch. N� de ref. del art�culo: 9783319812250

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