Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC)

Version 1.0.0.0 (6.67 MB) by Kai Zhang
Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC)
1.4K Downloads
Updated 4 Jul 2016

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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
Created with R2015b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0

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