SUPPORT VECTOR MACHINES
Support Vector Machine (SVM) was first heard in 1992, introduced by Boser, Guyon, and Vapnik in COLT-92 (Pittsburgh). Set of related supervised learning methods used for classification and regression. Classification and regression prediction tool tha...See more
t uses machine learning theory to maximize predictive accuracy while automatically avoiding over-fit to the data
They belong to a family of generalized linear classifiers Became popular after the technique gave accuracy comparable to sophisticated neural networks with elaborated features in a handwriting recognition task It is also being used for many applications, such as hand writing analysis, face analysis and so forth, especially for pattern classification and regression based applications
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