Project for the Machine Learning & Computational Mathematics for Learning and Data Analysis 2020/2021 @ University of Pisa
Implementation of various models for classification,regression task on:
- Monk
- ML CUP
The models that implemented are the following:
- SVM/SVR with different kernels
- Multi Layer Perceptron (MLP)
(Model) is a SVR-type approach of your choice (in particular, with one or more kernels of your choice).
(Algorithm) is a dual approach with appropriate choices of the constraints to be dualized, where the Lagrangian Dual is solved by an algorithm of the class of deflected subgradient methods. Reference: 1 - 2