UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
Graph-based sparse bayesian broad learning system for semi-supervised learning Journal article
Information Sciences, 2022,Volume: 597,Page: 193-210
Authors:  Xu, Lili;  Philip Chen, C. L.;  Han, Ruizhi
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2022/05/13
Classification  Fast Marginal Likelihood Maximization  Graph-based Model  Manifold Regularization  Semi-supervised Learning  Sparse Bayesian Broad Learning System  
Mortality prediction for COVID-19 patients via Broad Learning System Conference paper
2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020, Guangzhou, China, 13-15 Nov. 2020
Authors:  Han, Ruizhi;  Liu, Zhulin;  Philip Chen, C. L.;  Xu, Lili;  Peng, Guangzhu
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/12/06
Broad Learning System  Covid-19  Mortality Prediction  
Comparison and Combination of Activation Functions in Broad Learning System Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Toronto, ON, Canada, 11-14 Oct. 2020
Authors:  Xu, Lili;  Philip Chen, C. L.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/06
Activation Function  Broad Learning System  Classification  Combination Method  Regression  
Tensor Decomposition for Poisson Image Denoising Conference paper
2019 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019, New Taipei City, TAIWAN, NOV 07-10, 2019
Authors:  Wei,Huiqin;  Chen,Long;  Xu,Lili
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/09
Anscombe Transformation  Image Denoising  Low-rank Tensor  Poisson Noise