yin hujun (curatore); gao yang (curatore); li bin (curatore); zhang daoqiang (curatore); yang ming (curatore); li yun (curatore); klawonn frank (curatore); tallón-ballesteros antonio j. (curatore) - intelligent data engineering and automated learning – ideal 2016
  • Genere: Libro
  • Lingua: Inglese
  • Editore: Springer
  • Pubblicazione: 09/2016
  • Edizione: 1st ed. 2016

Intelligent Data Engineering and Automated Learning – IDEAL 2016

; ; ; ; ; ; ;

54,98 €
52,23 €
AGGIUNGI AL CARRELLO
TRAMA
This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 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.  

SOMMARIO
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.

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9783319462561
  • Collana: Lecture Notes in Computer Science
  • Dimensioni: 235 x 155 mm
  • Formato: Brossura
  • Illustration Notes: XVI, 647 p. 209 illus.
  • Pagine Arabe: 647
  • Pagine Romane: xvi