Learning pattern classification-a survey

S.R. Kulkarni, G. Lugosi, S.S. Venkatesh
1998 IEEE Transactions on Information Theory  
Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik-Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of
more » ... es is geared to provide a useful overview of this field for both specialists and nonspecialists.
doi:10.1109/18.720536 fatcat:pboyft5ze5gwphln5bpglatbam