Intelligent Data Engineering and Automated Learning - IDEAL 2016: Lecture Notes in Computer Science, cartea 9937
Editat de Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesterosen Limba Engleză Paperback – 13 sep 2016
The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.
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Specificații
ISBN-13: 9783319462561
ISBN-10: 3319462563
Pagini: 664
Ilustrații: XVI, 647 p. 209 illus.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.99 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319462563
Pagini: 664
Ilustrații: XVI, 647 p. 209 illus.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.99 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Research outcomes in data engineering and automated learning.- Methodologies, frameworks, and techniques.- Applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis.- Applications in regression, classification, clustering, medical and biological modeling and predication.- Text processing and image analysis.
Caracteristici
Includes supplementary material: sn.pub/extras