History SVM is a classifier derived from statistical learning theory by vapnik and Chervonenkis SVMs introduced by Boser, guyon anik in COLT-92 Initially popularized in the nips community, now an important and active field of all Machine learning research Special issues of Machine Learning Journal, and Journal of Machine Learning Research Copyright 2001, 2003, Andrew W. Moore Support Vector Machines: Slide 2Copyright © 2001, 2003, Andrew W. Moore Support Vector Machines: Slide 2 History • SVM is a classifier derived from statistical learning theory by Vapnik and Chervonenkis • SVMs introduced by Boser, Guyon, Vapnik in COLT-92 • Initially popularized in the NIPS community, now an important and active field of all Machine Learning research. • Special issues of Machine Learning Journal, and Journal of Machine Learning Research