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Title: Lecture 8: Sanjeev Sharma: Least Squares Discrimination View count: 11 Rating: 0 (0 ratings) Description: SANJEEV SHARMA: 10th Nov 2009. Lecture-8 Machine Learning - Linear Discrimination. In this lecture I first mentioned about the concepts of Separating Hyperplane, then I provided 3 different Data Sets and shown the Discrimination via Least Squares Discrimination, L1 Norm Fitting and Support Vector Machines. I provided the results of Robustness of LS Discrimination which is not very robust classifier. I also provided the evidence of outliers and distant data points. I also provided the results of using SVM. Tags: machine learning, sanjeev sharma, least squares, svm, Author: sanjeev3007 |
