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Faculty of Mathematics and Physics
Department of Theoretical Computer Science and Mathematical Logic
Machine Learning
Strojové učení
Model Assessment
Model Assessment
Section outline
◄
Ensamble Learning
►
Gaussian Graphical Models
◄
Ensamble Learning
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Main course page
Introduction
Kernel methods, Splines
Logistic Regression, LDA, QDA, Examples
Decision Trees, MARS
Ensamble Learning
Gaussian Graphical Models
Gaussian Processes and Bayesian Optimization
Clustering
Bayesian Methods, EM algorithm
Association Rule Learning
Inductive Logic Programming
PCA Extensions, Independent Component Analysis
Support Vector Machines
►
Gaussian Graphical Models