Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method.
Brent C. MunsellGuorong WuYue GaoNicholas DesistoMartin StynerPublished in: MICCAI (2) (2016)
Keyphrases
- learning algorithm
- training data
- training samples
- learning scheme
- synthetic data
- learning models
- bayesian methods
- learning tasks
- learning process
- test data
- database
- machine learning
- prior knowledge
- noisy data
- input data
- prior information
- statistical methods
- data sets
- data sources
- objective function
- data structure
- data analysis
- structural information
- preprocessing
- information loss
- similarity measure
- high dimensional data
- correlation analysis
- support vector machine
- missing data
- missing values
- data collection
- association rules
- neural network
- hypergraph model
- high order
- background knowledge
- knowledge discovery
- clustering method
- em algorithm