Low-energy formulations of support vector machine kernel functions for biomedical sensor applications

Mathematics

• Support Vector Machine 100%
• Sensor 92%
• Arrhythmia 86%
• Kernel Function 84%
• Polynomial Transformation 79%
• Detector 63%
• Energy 53%
• Formulation 50%
• Biomedical Applications 38%
• Electrocardiography 37%
• Electroencephalogram (EEG) 35%
• Radial Basis Function 30%
• Data-driven 30%
• Real-time 29%
• Classifier 29%
• Machine Learning 29%
• Performance 15%

Engineering & Materials Science

• Support vector machines 63%
• Detectors 41%
• Polynomials 40%
• Sensors 40%
• Electrocardiography 26%
• Electroencephalography 25%
• Classifiers 18%