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Visual Studio Magazine7d
Nadaraya-Watson Kernel Regression Using C#
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...
IEEE15d
Factor Screening for Equivalence Ratio Measurement Modeling: A Hybrid Approach Integrating Random Forest Algorithm and Support Vector Regression
Wavelengths with higher scores are selected as model factors, which are then used to construct specific equivalence ratio measurement models by support vector regression (SVR). The constructed ...
Frontiers18d
A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression
Methods: This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the ...
GitHub22d
Survival Support Vector Analysis
Three approaches are available in the package: The regression approach takes censoring into account when formulating the inequality constraints of the support vector problem. In the ranking approach, ...
Visual Studio Magazine25d
Linear Support Vector Regression from Scratch Using C# with Evolutionary Training
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
GitHub26d
regression-tree
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...