A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia.
Eduardo CastroVanessa Gómez-VerdejoManel Martínez-RamónKent A. KiehlVince D. CalhounPublished in: NeuroImage (2014)
Keyphrases
- multiple kernel learning
- data analysis
- complex valued
- functional magnetic resonance imaging
- machine learning
- feature selection
- real valued
- image classification
- linear combination
- kernel methods
- hidden markov models
- support vector machine svm
- pattern recognition
- support vector
- data mining
- neural network
- feature vectors
- kernel function
- learning experience
- decision trees