|
|||||
|
|
Semi-supervised mixture of latent factor analysis models with application to online key variable estimation |
|
| Affiliation: | State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, College of Control, Science and Engineering, Zhejiang University, Hangzhou 310027, P.R. China |
| Abstract: | |
| Keywords: | Virtual sensor Semi-supervised learning Mixture of latent factor analysis models Akaike information criterion Expectation–maximization |
| 本文献已被 ScienceDirect 等数据库收录！ | |
