Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC)
The demo of the algorithm EA-SRC is given in 'Demo_Classification_EASRC';
In addition to the main algorithm, the main contributions which utilizes the regularized ELM with a computational efficiency LOO method (RELM-LOO) is also given, with demos in 'Demo_Classification' and 'Demo_Regression';
The regressor includes the regularized ELM with a computational efficiency LOO method (RELM-LOO) is given in the folder '/utilities' named as 'regressor';
The folder '/l1ls' includes four representative sparse reconstruction algorithms;
Two classification applications and one regression application are included for illustration.
Cite As
Kai Zhang (2024). Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC) (https://www.mathworks.com/matlabcentral/fileexchange/58005-code-for-the-extreme-learning-machine-and-adaptive-sparse-representation-algorithm-ea-src), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
EA-SRC/
EA-SRC/l1ls/
EA-SRC/l1ls/@partialDCT/
EA-SRC/utilities/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 | . |