Machine Learning and Cybernetics 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings / [electronic resource] :
edited by Xizhao Wang, Witold Pedrycz, Patrick Chan, Qiang He.
- XIV, 462 p. 160 illus. online resource.
- Communications in Computer and Information Science, 481 1865-0929 ; .
- Communications in Computer and Information Science, 481 .
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.
9783662456521
10.1007/978-3-662-45652-1 doi
Computer science.
Algorithms.
Data mining.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Algorithm Analysis and Problem Complexity.
Q334-342 TJ210.2-211.495
006.3
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.
9783662456521
10.1007/978-3-662-45652-1 doi
Computer science.
Algorithms.
Data mining.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Algorithm Analysis and Problem Complexity.
Q334-342 TJ210.2-211.495
006.3