PDA-SVM hybrid: A unified model for kernel-based supervised classification

Keyphrases

• Supervised Classification 100%
• Unified Model 100%
• Kernel-based 100%
• Training Data 66%
• Error Analysis 33%
• Noise Measurement 33%
• Classification Accuracy 33%
• Appropriate Model 33%
• Application Domain 33%
• Biological Data 33%
• Inner Product 33%
• Observational Data 33%
• Distance Metric 33%
• New Metric 33%
• Testing Data 33%
• Supervised Learning 33%
• Training Accuracy 33%
• UCI Dataset 33%
• Error Resilience 33%
• Data Noise 33%
• Learning Application 33%
• Kernel-based Classifier 33%
• Classifier Training 33%
• Euclidean Metric 33%
• Training Error 33%
• Linearly Non-separable 33%

Computer Science

• Distance Metric 100%
• Support Vector Machine 100%
• Personal Digital Assistant 100%
• Supervised Classification 100%
• Supervised Learning 50%
• Error Resilience 50%
• Training Dataset 50%
• Measurement Noise 50%