Clustering-Induced Multi-task Learning for AD/MCI Classification.
Heung-Il SukDinggang ShenPublished in: MICCAI (3) (2014)
Keyphrases
- multi task learning
- multi task
- ad patients
- unsupervised learning
- multiple tasks
- classification accuracy
- mild cognitive impairment
- feature extraction
- learning tasks
- binary classification tasks
- feature selection
- clustering algorithm
- image classification
- text classification
- machine learning
- learning algorithm
- high degree of accuracy
- k means
- data points
- classification models
- closed form
- feature space
- cross validation
- class labels
- theoretical analysis
- multi class
- markov random field