A robust support vector regression with a linear-log concave loss function

Mathematics

• Support Vector Regression 100%
• Robust Regression 84%
• Log-concave 80%
• Concave function 73%
• Loss Function 67%
• Outlier 32%
• Semiconductor Manufacturing 13%
• Wafer 12%
• Metrology 11%
• Nondifferentiable Optimization 11%
• Prediction Model 10%
• Synthetic Data 9%
• Nonconvex Optimization 9%
• Nonlinear Regression 9%
• Experimental Results 8%
• Mean Squared Error 8%
• Resolve 8%
• Predict 7%
• Smoothing 7%
• Convex function 7%
• Differentiable 6%
• Prediction 6%
• Nonlinear Systems 6%
• Regression 6%
• Roots 6%
• Transform 6%
• Optimization Problem 5%
• Formulation 5%
• Alternatives 5%
• Norm 4%
• Zero 4%
• Approximation 4%
• Generalization 4%

Business & Economics

• Support Vector Regression 88%
• Loss Function 74%
• Outliers 44%
• Nonlinear Systems 11%
• Nonlinear Regression 11%
• Semiconductor Manufacturing 10%
• Mean Squared Error 9%
• Process Quality 9%
• Smoothing 8%
• Prediction Model 8%
• Optimization Problem 7%
• Approximation 6%
• Prediction 6%
• Alternatives 3%

Engineering & Materials Science

• Support vector regression 76%
• Semiconductor materials 7%
• Nonlinear systems 6%
• Set theory 5%