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Support Vector Machines

• 1
• Image, Speech and Intelligent Systems Research Group
• University of Southampton. Overview and links to resources.

• 2
• SVM Application List
• Overview of domains in which SVMs have been applied.

• 3
• Joachims, Thorsten
• Support vector machines, machine learning and natural language, statistical learning theory, text classification.

• 4
• Tong, Simon
• Machine learning, active learning, graphical models, support vector machines.

• 5
• A Tutorial on Support Vector Machines for Pattern Recognition
• By Christopher Burges. 1998. Several formats of document available.

• 6
• A Tutorial on v-Support Vector Machines
• Paper by Pai-Hsuen Chen, Chih-Jen Lin, and Bernhard Schölkopf, describing the main ideas of statistical learning theory, support vector machines (SVMs), and kernel feature spaces. [PDF]

• 7
• Semi-Supervised Support Vector
• We introduce a semi-supervised support vector machine (S3VM) method. [PDF]

• 8
• Library for Support Vector Machines (LIBSVM)
• An integrated tool implementing support vector classification, regression, and distribution estimation. C++ and Java sources available. [Free]

• 9
• SVM-Light: Support Vector Machine Software
• Training software for large-scale SVMs. [Free for non-commercial use]