Attentive deep learning with Randomized Vector Energy Least Square Twin Support Vector Machine for Alzheimer's Disease diagnosis

Computer Science

• Least Squares Methods 100%
• Deep Learning Method 100%
• Support Vector Machine 100%
• Superior Performance 50%
• Classification Technique 50%
• Source Coding 50%
• Residual Neural Network 50%
• Regularization 50%
• Classification Accuracy 50%
• Critical Region 50%
• Clinical Application 50%
• Machine Learning 50%
• Learning System 50%
• Feature Extraction 50%
• Multi-Head Attention Mechanism 50%