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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Su, C., Ding, S., Jia, W., Wang, X., & Xu, X. (2008). Some progress of supervised learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5227 LNAI, pp. 661–666). https://doi.org/10.1007/978-3-540-85984-0_79
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