Two-stage sparse multi-kernel optimization classifier method for more accurate and explainable prediction

Keyphrases

• Prediction Accuracy 100%
• Multiple Kernels 100%
• Classification Methods 100%
• Explainable Prediction 100%
• Kernel Optimization 100%
• Support Vector Machine Classifier 60%
• Multiple Kernel Learning 20%
• L1-norm 20%
• Classification Accuracy 20%
• Least Absolute Shrinkage and Selection Operator (LASSO) 20%
• Single Kernel 20%
• Iterative Update 20%
• Kernel Matrix 20%
• SimpleMKL 20%
• Multi-kernel Function 20%
• Norm Approximation 20%
• Linearly Non-separable 20%
• Unrelated Attribute 20%
• Contribution Rate 20%
• Classifier Model 20%
• Separable Problems 20%
• Redundant Observations 20%
• Least Square Support Vector Machine Classifier 20%

Computer Science

• Support Vector 100%
• Kernel Optimization 100%
• Experimental Result 25%
• Least Squares Method 25%
• Interpretability 25%
• Multiple Kernel Learning 25%
• Approximation (Algorithm) 25%
• Classification Accuracy 25%
• Kernel Function 25%
• Predicted Output 25%
• Classifier Model 25%