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

Contributor(s): Wang, Xizhao [editor.] | Pedrycz, Witold [editor.] | Chan, Patrick [editor.] | He, Qiang [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Communications in Computer and Information Science: 481Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: XIV, 462 p. 160 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662456521.Subject(s): Computer science | Algorithms | Data mining | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Algorithm Analysis and Problem ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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