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Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors Journal article
Luo, Jiahua, Gan, Yanfen, Vong, Chi Man, Wong, Chi Man, Chen, Chuangquan. Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors[J]. Neurocomputing, 2021, 457, 106-116.
Authors:  Luo, Jiahua;  Gan, Yanfen;  Vong, Chi Man;  Wong, Chi Man;  Chen, Chuangquan
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:5.5/5.5 | Submit date：2021/12/08
Approximate Bayesian Regularization Priors  Relevance Vector Machine  Scalable Sparse Bayesian Learning  Sparse Bayesian Extreme Learning Machine  
Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors Journal article
Luo, J.H., Gan, Y.F., Vong, C. M., Wong, C.M., Chen, C.Q.. Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors[J]. Neurocomputing (SCI-E), 2021, 106-116.
Authors:  Luo, J.H.;  Gan, Y.F.;  Vong, C. M.;  Wong, C.M.;  Chen, C.Q.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Scalable Sparse Bayesian Learning  Approximate Bayesian Regularization Priors  Relevance Vector Machine  Sparse Bayesian Extreme Learning Machine