Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

SRBench: A Living Benchmark for Symbolic Regression The methods for symbolic regression (SR) have come a long way since the days of Koza-style genetic programming (GP). Our goal with this project is ...

Nuclear-norm-based matrix regression (NMR) methods have been successfully applied for the recognition of corrupted images. However, most of these methods do not consider the label information and are ...

Linear regression analysis may be extended to higher-order regression models by using higher-order predictor variables. In basic linear regression, a linear equation represents the connection between ...

Regression analysis, including curvilinear and multilinear models, identified correlations between these indices and the physicochemical and ADMET properties of these drugs. QSPR models are developed ...

matlab linear-algebra regression matrix-multiplication factorial svd echelon-form svd-matrix-factorisation camm Updated on Jun 9 ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...