Model selection, model combination, model distance, principle of parsimony, generability estimation
Candidate model choice, feature-based model combination, model assessment, Bayesian information aggregation
Adaptive fuzzy mixture, local feature model, PCA, ICA, phase transition, fuzzy parametric clustering, Real-coded Genetic Algorithm
Model Selection, Model Combination, Model Dependence, Model Structure, Model Decomposition, Principal Component Analysis, Independent Component Analysis, BIC, Cross-Validation
Model selection, multiple regression, generalized ridge regression, effective model dimensionality, genetic algorithm, derivative-free local optimization
