期刊名称:Facta universitatis - series: Electronics and Energetics
印刷版ISSN:0353-3670
电子版ISSN:2217-5997
出版年度:2003
卷号:16
期号:3
页码:305-316
DOI:10.2298/FUEE0303305S
出版社:University of Niš
摘要:
Learning from data is discussed from the point of view of support vector machines. A specific algorithm solving the polychotomy problem is described. The methodology is illustrated on two complex examples taken from practice.
关键词:Signal processing; learning; support vector machines