Optimal and Non-Optimal Parallel Implementations of the Sequentiall Minimal Optimization Algorithm for Support Vector Machine Training

Computer Science

• Support Vector Machine 100%
• Parallel Implementation 100%
• Optimization Algorithm 100%
• Support Vector 66%
• Optimization Problem 33%
• Quadratic Programming 33%
• Speed-up 33%
• Wider Acceptance 33%
• Risk Minimization 33%
• Supervised Learning 33%
• Experimental Result 33%
• Pattern Recognition 33%
• Learning System 33%

Chemical Engineering

• Support Vector Machine 100%
• Learning System 20%
• Supervised Learning 20%