Non-sparse infinite-kernel learning for automated identification of Alzheimer's disease using PET imaging

Computer Science

• Machine Learning 100%
• Sparse Solution 66%
• Good Performance 33%
• Learning Process 33%
• Computational Cost 33%
• Norm Constraint 33%
• Heterogeneous Data 33%
• Kernel Parameter 33%