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Adaptive methods Boosting Brain Mapping Classification emphasis function Ensembles Feature extraction Feature selection Feature Selection fMRI Independent Component Analysis L1 regularization Least Squares Magnetic Resonance Image Mixtures of Experts Multiple kernel learning Multivariate analysis Mutual Information Neural Networks Noise cancellation Orthonormalized Partial Least Squares Real AdaBoost Signal Processing sMRI Sparsity Sparsity Statistical Parametric Mapping Subsampling Support Vector Machines Voting schemes