Knowledge in svm
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 that 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
AKSHAT RAO PATIL
Support vector machine (SVM) and kernels, kernel optimization
Support vector machine (SVM) and kernels, kernel optimization
Tanmay Mondal