Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques.
Letizia SquarcinaUmberto CastellaniMarcella BellaniCinzia PerliniAntonio LasalviaNicola DusiChiara BonettoDoriana CristofaloSarah TosatoGianluca RambaldelliFranco AlessandriniGiada ZoccatelliRoberto Pozzi MucelliDario LamonacaEnrico CeccatoFrancesca PileggiFausto MazziPaolo SantonastasoMirella RuggeriPaolo BrambillaPublished in: NeuroImage (2017)
Keyphrases
- multiple kernel learning
- support vector machine
- multiple kernel
- kernel methods
- support vector
- kernel learning
- kernel function
- lp norm
- feature selection
- binary classification
- linear combination
- multi class
- support vectors
- support vector machine svm
- svm classifier
- svm classification
- feature space
- machine learning
- classification accuracy
- decision boundary
- learning problems
- k nearest neighbor
- machine learning methods
- cross validation
- feature extraction
- image classification
- generalization ability
- support vector regression
- training set
- multiple features
- text classification
- reinforcement learning
- semi supervised
- feature vectors