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Lecture
Kernel Methods: Representer Theorem and SVM Applications
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Support Vector Regression: Nu-SVR and RVR
Explores advanced topics in machine learning, focusing on SVR extensions and hyperparameter optimization, including Nu-SVR and RVR.
Redescription SVM and Hilbert Spaces
Explores redescription SVM and Hilbert spaces for solving nonlinear problems using inner product spaces and separable Hilbert spaces.
