Approximate training of one-class support vector machines using expected margin

Computer Science

• Support Vector Machine 100%
• Approximation (Algorithm) 20%
• Computational Complexity 20%
• Superior Performance 20%
• Support Vector 20%
• Bootstrap Sample 20%
• Training Instance 20%
• Class Classification 20%
• Computational Efficiency 20%
• Classification Problem 20%

Engineering

• Support Vector Machine 100%
• Classification Problem 16%
• Computational Efficiency 16%
• Computational Complexity 16%
• Bootstrap Sample 16%

Earth and Planetary Sciences

• Support Vector Machine 100%