Unit – III: Support Vector Machine- Bayesian Learning
Unit – III: Support Vector Machine- Bayesian Learning Support Vector Machines: 1. Introduction 2. Linear Classifier 3. Non-linear Classifier 4. Training SVM 5. Support Vector Regression Bayesian Learning : 1. Bayes theorem and concept learning 2. Minimum Description Length Principle 3. Bayes optimal classifier 4. Gibbs Algorithm 5. Naïve Bayes Classifier 6. The EM algorithm 👉 UNIT-3 (A) Support Vector Machine Notes 👉 UNIT-3 (A) Support Vector Machine PPTs 👉 SVM Program 👉 Training SVM 👉 Extra Info on SVM