Using Kernel Alignment for Feature Selection in Schizophrenia Diagnostic.
Mario MartínJavier BéjarGennaro EspositoNeus CatalàUlises CortésFerran ViñasJosep TarragóEmilio RojoRafal NowakPublished in: CCIA (2015)
Keyphrases
- feature selection
- feature space
- class separability
- support vector
- kernel learning
- profile hidden markov models
- mutual information
- text categorization
- feature selection algorithms
- kernel function
- medical images
- medical diagnosis
- text classification
- dimensionality reduction
- kernel methods
- feature set
- diagnostic reasoning
- expert systems
- machine learning
- multiple kernel learning
- decision making
- microarray data
- autism spectrum disorder
- image alignment
- model selection
- dynamic time warping
- information gain
- kernel matrix
- classification models
- feature subset
- sequence alignment
- support vector machine
- supervised learning tasks
- face recognition
- sequence data
- high dimensionality
- irrelevant features
- decision trees
- hilbert schmidt independence criterion