Simultaneously learning two models in two domains, with the help of transfer samples (reference / corresponding / calibration samples) in both domains.
Typical application: calibration transfer of two devices, or sensor drift correction.
Linear logistic regression and ridge regression under the framework of TCTL were implemented for classification and regression.
ref: K. Yan, and D. Zhang, “Calibration transfer and drift compensation of e-noses via coupled task learning," Sens. Actuators B: Chem., vol. 225, pp. 288-297, Mar., 2016.
Copyright 2015 YAN Ke, Tsinghua Univ. http://yanke23.com, xjed09@gmail.com
引用格式
Ke Yan (2024). Transfer sample-based coupled task learning (TCTL) (https://www.mathworks.com/matlabcentral/fileexchange/54558-transfer-sample-based-coupled-task-learning-tctl), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!for upload/
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0.0 | url updated |