Smooth ε-insensitive regression by loss symmetrization

Keyphrases

• Algorithm Framework 33%
• Batch Learning 33%
• Boosting Algorithm 100%
• Classification Algorithms 66%
• Exponential Loss 33%
• Exponentiated Gradient 33%
• Gradient Method 33%
• Hinge Loss 33%
• Learning Algorithm 33%
• Least Squares Support Vector Regression (LSSVR) 33%
• Logistic Loss 100%
• Loss Function 33%
• New Additives 33%
• New Loss Function 33%
• Online Gradient Descent 33%
• Parametric Family 33%
• Regression Algorithm 33%
• Regression Problem 33%
• Smooth Approximation 33%
• Symmetric Loss 33%
• Symmetrization 100%

Mathematics

• Batch Learning 50%
• Loss Function 100%
• Parametric Family 50%
• Regularization 50%
• Simple Form 50%
• Smooth approximation 50%
• Support Vector Machine 50%