Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification.
Zhengdong WangBiao JieMi WangChunxiang FengWen ZhouDinggang ShenMingxia LiuPublished in: GLMI@MICCAI (2019)
Keyphrases
- multi task
- feature selection
- functional connectivity
- brain connectivity
- multi task learning
- support vector machine
- multiple kernel learning
- support vector
- classification accuracy
- learning tasks
- text classification
- kernel machines
- multi class
- feature extraction
- functional magnetic resonance imaging
- decision trees
- machine learning
- feature space
- feature set
- information gain
- learning problems
- text categorization
- unsupervised learning
- model selection
- mutual information
- transfer learning
- image classification
- pattern classification
- supervised learning
- training data
- feature vectors
- human brain
- machine learning algorithms
- face recognition
- eeg signals
- dimensionality reduction
- feature subset
- knn
- kernel methods
- diffusion tensor imaging
- data analysis