Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning

Keyphrases

• Binary Classification 100%
• Classification Accuracy 28%
• Classification Pattern 14%
• Ensemble Learning 100%
• Ensemble Support Vector Machine 14%
• Gaussian Selection 14%
• Goods Classification 14%
• Hardware Cost 28%
• Hardware Overhead 28%
• Highly Parallel 57%
• Innovative Model 14%
• Linear Classifier 14%
• Machine Learning System 14%
• Object Detection 14%
• Parallel Support Vector Machine 28%
• Parallel SVM 42%
• Pattern Recognition 14%
• Popular 14%
• Recognition Detection 14%
• Support Model 14%
• Support Vector Machine 100%
• Support Vector Machine Algorithm 28%
• Time Overhead 28%
• Training Data 14%
• Training Phase 28%
• Training Time 42%
• Training Time Reduction 14%

Computer Science

• Approximation (Algorithm) 7%
• Binary Classification 100%
• Classification Accuracy 14%
• Computer Hardware 14%
• Ensemble Learning 100%
• Experimental Result 7%
• Hardware Cost 14%
• Hardware Overhead 14%
• Learning System 7%
• Linear Classifier 7%
• Machine Learning 7%
• Object Detection 7%
• Pattern Recognition 7%
• Support Vector Machine 100%
• Training Data 7%
• Training Phase 14%