Protected: Regression Analysis with Support Vector Machines (2) Approach to Nonlinear Regression Problems
Approaches to nonlinear regression problems with support vector machines (quantile regression, kernel quantile regression, heterogeneous distribution models, ε-insensitive loss functions) utilized in digital transformation, artificial intelligence, and machine learning tasks.