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Advances in machine learning and sig...

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Advances in machine learning and signal processingproceedings of MALSIP 2015 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in machine learning and signal processingedited by Ping Jack Soh ... [et al.].
Reminder of title:	proceedings of MALSIP 2015 /
remainder title:	MALSIP 2015
other author:	Soh, Ping Jack.
corporate name:
Published:	Cham :Springer International Publishing :2016.
Description:	ix, 312 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learningCongresses.
Online resource:	http://dx.doi.org/10.1007/978-3-319-32213-1
ISBN:	9783319322131$q(electronic bk.)

Advances in machine learning and signal processingproceedings of MALSIP 2015 /
Advances in machine learning and signal processingproceedings of MALSIP 2015 /[electronic resource] :MALSIP 2015edited by Ping Jack Soh ... [et al.]. - Cham :Springer International Publishing :2016. - ix, 312 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v.3871876-1100 ;. - Lecture notes in electrical engineering ;v.132..

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.

ISBN: 9783319322131$q(electronic bk.)

Standard No.: 10.1007/978-3-319-32213-1doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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