Predicting glaucoma progression using multi-task learning with heterogeneous features

Computer Science

• Multitask Learning 100%
• Regression 50%
• Individual Patient 50%
• Patient-Data 50%
• Learning Approach 50%
• Heterogeneous Feature 50%
• Gaussian Kernel 50%
• Decomposition Matrix 50%