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IEEE3d
Dynamic Graph Regularization and Label Relaxation-Based Sparse Matrix Regression for Two-Dimensional Feature Selection - IEEE Xplore
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 ...
GitHub18d
GitHub - cerlymarco/linear-tree: A python library to build Model Trees with Linear Models at the leaves.
A python library to build Model Trees with Linear Models at the leaves. - cerlymarco/linear-tree. Skip to content. Navigation Menu Toggle navigation. Sign in Appearance settings. ... Explainable ...
World Scientific23d
Matrix-Form Green’s Function Method for Unified Static Analysis of Uniform Euler–Bernoulli Beams Under Arbitrary External Loads and Boundary Conditions | International ...
Matrix-Form Green’s Function Method for Unified Static Analysis of Uniform Euler–Bernoulli Beams Under Arbitrary External Loads and ... M. S. [2020] “ Shear strength of reinforced concrete deep beams ...
C&EN23d
Use of a Nonnegative Constrained Principal Component Regression Chemical Mass Balance Model to Study the Contributions of Nearly Collinear Sources - ACS Publications
In this study, a nonnegative constrained principal component regression chemical mass balance (NCPCRCMB) model was used to solve the near collinearity problem among source profiles for source ...
Visual Studio Magazine25d
Linear Support Vector Regression Using C# with Particle Swarm 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 ...
IEEE26d
The Interactive Multiple Model Strategy With Matrix Form Mode Probability for Models With Different State Vectors | IEEE Journals & Magazine | IEEE Xplore
The Interactive Multiple Model (IMM) strategy is widely used for systems with multiple operating modes characterized by varying dynamics. This approach is particularly effective when a system ...
SciELO28d
Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF) - SciELO - Brasil
Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF) ... Souza et al. (2016) compared model adjustments for ...