Transfer sample-based coupled task learning (TCTL)

版本 1.0.0.0 (563.9 KB) 作者: Ke Yan
A multitask learning method with transfer samples
0.0
(0)
190.0 次下载
更新 2016/4/19

查看许可证

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 (2026). Transfer sample-based coupled task learning (TCTL) (https://ww2.mathworks.cn/matlabcentral/fileexchange/54558-transfer-sample-based-coupled-task-learning-tctl), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2010b
兼容任何版本
平台兼容性
Windows macOS Linux
类别
在 Help Center 和 MATLAB Answers 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
标签 添加标签
在新标签页中打开
版本 已发布 发行说明
1.0.0.0

url updated