Some Progress of Supervised Learning

Authors:
Chunyang Su;Shifei Ding;Weikuan Jia;Xin Wang;Xinzheng Xu
Affiliations:
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China 221008;School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China 221008 and Key Laboratory of Intelligent Information Processing, Institute of Computing Technolo ...;College of Plant Protection, Shandong Agricultural University, Taian, China 271018;School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China 221008;School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China 221008
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

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Abstract

Supervised learning is very important in machine learning. In this paper we discuss some progress of supervised learning. At first, we introduce the basic concept and methods of supervised learning; then explain several typical algorithms of supervised learning in details, the algorithms covered are Bayesian networks, decision tree, k-nearest neighbor, supervised manifold learning and support vector machines; at last we point out several developing directions of supervised learning.