Machine Learning and Cybernetics 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings /

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers presented were carefully reviewed and selected from 421 submissions. The papers are organized in topical sections on class...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Wang, Xizhao (Επιμελητής έκδοσης), Pedrycz, Witold (Επιμελητής έκδοσης), Chan, Patrick (Επιμελητής έκδοσης), He, Qiang (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Σειρά:Communications in Computer and Information Science, 481
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Machine Learning and Cybernetics  |h [electronic resource] :  |b 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings /  |c edited by Xizhao Wang, Witold Pedrycz, Patrick Chan, Qiang He. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a XIV, 462 p. 160 illus.  |b online resource. 
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490 1 |a Communications in Computer and Information Science,  |x 1865-0929 ;  |v 481 
505 0 |a Classification and semi-supervised learning; -- Clustering and kernel.-Application to recognition -- Sampling and big data -- Application to detection -- Decision tree learning; learning and adaptation -- Similarity and decision making -- Learning with uncertainty -- Improved learning algorithms and applications. 
520 |a This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers presented were carefully reviewed and selected from 421 submissions. The papers are organized in topical sections on classification and semi-supervised learning; clustering and kernel; application to recognition; sampling and big data; application to detection; decision tree learning; learning and adaptation; similarity and decision making; learning with uncertainty; improved learning algorithms and applications. 
650 0 |a Computer science. 
650 0 |a Algorithms. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
700 1 |a Wang, Xizhao.  |e editor. 
700 1 |a Pedrycz, Witold.  |e editor. 
700 1 |a Chan, Patrick.  |e editor. 
700 1 |a He, Qiang.  |e editor. 
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776 0 8 |i Printed edition:  |z 9783662456514 
830 0 |a Communications in Computer and Information Science,  |x 1865-0929 ;  |v 481 
856 4 0 |u http://dx.doi.org/10.1007/978-3-662-45652-1  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)