Advances in Machine Learning and Signal Processing
Editat de Ping Jack Soh, Wai Lok Woo, Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Shakir Saaten Limba Engleză Paperback – 31 mai 2018
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Specificații
ISBN-13: 9783319812250
ISBN-10: 3319812254
Pagini: 324
Ilustrații: IX, 312 p. 139 illus., 88 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319812254
Pagini: 324
Ilustrații: IX, 312 p. 139 illus., 88 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
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.
Caracteristici
the latest research findings and innovations in the field of machine learning and signal processing wide range of topics Identifiesfuture research directions Providesaccess to numerous new algorithms Includes supplementary material: sn.pub/extras