Tag: svm
Concepts
- Hinge Loss and Margin Maximization
- The Kernel Trick and Kernel Methods
- Linear SVM vs Logistic Regression
- Margin-Based Generalization Bounds
- Mercer's Condition and Valid Kernels
- One-Class SVM and Novelty Detection
- One-vs-Rest and One-vs-One Multiclass Strategies
- Sequential Minimal Optimization
- Soft-Margin SVMs and the C Parameter
- Support Vector Machines
- Support Vector Regression
- The RBF Kernel and Bandwidth Selection
- The Representer Theorem
- The SVM Dual and Support Vectors