EECE 7906 - Advanced Pattern Recognition

(3) Principle component analysis, Independent component analysis, linear discriminant analysis, decision theory, density estimation, dimensionality reduction, statistical classification and clustering, manifold learning, statistical learning theory, ensemble learning, classification and regression trees, random forest, random survival forests, identifying feature relevance using a random forest, ensemble selection from libraries of models, extremely randomized trees, conditional variable importance for random forests, bagging and boosting