Machine Learning and Cybernetics : 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings / / edited by Xizhao Wang, Witold Pedrycz, Patrick Chan, Qiang He

• Record Nr.: UNINA9910298995203321
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
• ISBN: 3-662-45652-4
• Edizione: [1st ed. 2014.]
• Descrizione fisica: 1 online resource (XIV, 462 p. 160 illus.)
• Collana: Communications in Computer and Information Science, , 1865-0929 ; ; 481
• Disciplina: 006.31
• Soggetti: Artificial intelligence; Data mining; Algorithms; Artificial Intelligence; Data Mining and Knowledge Discovery; Algorithm Analysis and Problem Complexity
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: 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.
• Sommario/riassunto: 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.