Multiple Model Classification Using SVM-based Approach

Keyphrases

• Multiple Models 100%
• SVM-based 100%
• Classification Model 100%
• Classification Methods 66%
• Prediction Accuracy 33%
• Classification Accuracy 33%
• Practical Implementation 33%
• Learning Problems 33%
• Regularization Parameter 33%
• Kernel Type 33%
• Goods Classification 33%
• Linear Components 33%
• Multiple Model Adaptive Estimation 33%
• Component Model 33%
• Linear Classifier 33%
• Nonlinear SVM 33%
• Nonlinear Classification 33%
• SVM Parameters 33%
• Heuristic Tuning 33%
• SVM Classification Algorithm 33%
• Non-linear SVM Classifier 33%

Computer Science

• Support Vector Machine 100%
• Classification Models 100%
• Classification Method 50%
• Learning Problem 25%
• Prediction Accuracy 25%
• Linear Classifier 25%
• Classification Accuracy 25%
• Classification Algorithm 25%
• Regularization Parameter 25%
• Component Model 25%
• Linear Component 25%

Mathematics

• Multiple Model 100%
• Classification Method 50%
• Regularization 25%
• Practical Advantage 25%