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Supervised learning includes series-based methods such as decision trees, NB, SVM, RF, and other classic algorithms, model-based methods such as majority voting, XGBoost, MOLI, and transformation-based methods including SDP-SVM and FSMKL

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The most developed application comes from Indiana University, where researchers created a VR experience that allows people in early recovery to interact with age-progressed avatars representing their future selves: one avatar shows their life trajectory if they return to substance use, another shows their recovery trajectory

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