Sumários
19. Kernel Methods
7 maio 2019, 09:30 • Andreas Miroslaus Wichert
Cover’s theorem, Interpolation Problem, Micchelli's Theorem, Radial Basis Function Networks, Modifications, Interpretation of Hidden Units, Kernel Regression, Constructing Kernel
LAB 10: PCA / Decision Trees
7 maio 2019, 08:00 • Eugénio Ribeiro
Resolution of exercises about PCA and decision trees (ID3 and C4.5)
18. Ensemble Models
3 maio 2019, 12:30 • Andreas Miroslaus Wichert
No Free Lunch Theorem, Ensemble Learning, Bayesian Model Averaging, Committees, Bagging, Boosting, AdaBoost,Mixtures of linear regression models, EM for linear Regression Models, Mixture of Logistic Regression