期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 21, 期 2, 页码 351-357出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2009.2039227
关键词
Support vector machines; Training; Accuracy; Kernel; Nearest neighbor searches; Data mining; Clustering algorithms; support vector machines (SVMs); Classification; large data sets; training-set condensation; nearest neighbor rule