Quantitative convergence analysis of kernel based large-margin unified machines

Mathematics

• Approximation 12%
• Binary Classification 68%
• Classification Algorithm 35%
• Classifier 56%
• Community 25%
• Convergence Analysis 69%
• Family 11%
• Framework 14%
• High-dimensional 20%
• Higher Dimensions 46%
• kernel 51%
• Loss Function 25%
• Machine Learning 27%
• Margin 85%
• Performance 14%
• Projection Operator 28%
• Quantitative Analysis 92%
• Reproducing Kernel Hilbert Space 56%
• Sample Size 38%
• Support Vector 38%
• Support Vector Machine 62%
• Training Samples 33%

Engineering & Materials Science

• Classifiers 53%
• Hilbert spaces 100%
• Machine learning 27%
• Piles 35%
• Support vector machines 60%