Intelligent Data Engineering and Automated Learning – IDEAL 2013 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings /

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Yin, Hujun (Επιμελητής έκδοσης), Tang, Ke (Επιμελητής έκδοσης), Gao, Yang (Επιμελητής έκδοσης), Klawonn, Frank (Επιμελητής έκδοσης), Lee, Minho (Επιμελητής έκδοσης), Weise, Thomas (Επιμελητής έκδοσης), Li, Bin (Επιμελητής έκδοσης), Yao, Xin (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:Lecture Notes in Computer Science, 8206
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data  processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.
Φυσική περιγραφή:XVIII, 639 p. 215 illus. online resource.
ISBN:9783642412783
ISSN:0302-9743 ;