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A new learning paradigm for random vector functional-link network: RVFL+ Journal article
Neural Networks, 2020,Volume: 122,Page: 94-105
Authors:  Zhang,Peng Bo;  Yang,Zhi Xin
Favorite |  | TC[WOS]:6 TC[Scopus]:8 | Submit date:2021/03/11
KRVFL+  Learning using privileged information  Random vector functional link networks  RVFL+  SVM+  The Rademacher complexity  
Re-analysis of the coral Acropora digitifera transcriptome reveals a complex lncRNAs-mRNAs interaction network implicated in Symbiodinium infection Journal article
BMC Genomics, 2019,Volume: 20,Issue: 1
Authors:  Huang C.;  Leng D.;  Sun S.;  Zhang X.D.
Adobe PDF | Favorite |  | TC[WOS]:4 TC[Scopus]:3 | Submit date:2021/03/03
Acropora Digitifera  Alternative Splicing  Deep Rna-sequencing  Long Non-coding Rnas  Symbiodinium  Transcriptome  
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 1,Page: 10-24
Authors:  Chen, C. L. Philip;  Liu, Zhulin
Favorite |  | TC[WOS]:267 TC[Scopus]:392 | Submit date:2018/10/30
Big data  big data modeling  broad learning system (BLS)  deep learning  incremental learning  random vector functional-link neural networks (RVFLNN)  single layer feedforward neural networks (SLFN)  singular value decomposition (SVD)  
Broad learning system: Feature extraction based on K-means clustering algorithm Conference paper
ICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems
Authors:  Liu Z.;  Zhou J.;  Chen C.L.P.
Favorite |  | TC[WOS]:0 TC[Scopus]:15 | Submit date:2019/02/11
broad learning system  deep learning  feature representation  incremental learning  K-means  random vector functional link networks  Single layer feedforward neural networks  SVD  
Broad learning system: A new learning paradigm and system without going deep Conference paper
Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
Authors:  Chen C.L.P.;  Liu Z.
Favorite |  | TC[WOS]:0 TC[Scopus]:24 | Submit date:2019/02/11
broad learning system  deep learning  random vector functional link networks  Single layer feedforward neural networks  
Broad Learning System: Feature extraction based on K-means clustering algorithm Conference paper
Authors:  Liu, Zhulin;  Zhou, Jin;  Chen, C. L. Philip;  IEEE
Favorite |  | TC[WOS]:5 TC[Scopus]:0 | Submit date:2018/10/30
Single layer feedforward neural networks  SVD  random vector functional link networks  broad learning system  incremental learning  deep learning  K-means  feature representation  
Broad Learning System: structural extensions on single-layer and multi-layer neural networks Conference paper
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  IEEE
Favorite |  | TC[WOS]:12 TC[Scopus]:0 | Submit date:2018/10/30
Single layer feedforward neural networks  random vector functional link networks  broad learning system  incremental learning  extremal learning machine  radial basis function networks  hierarchical extremal learning machine  
Broad Learning System: a new learning paradigm and system without going deep Conference paper
Authors:  Chen, C. L. Philip;  Liu, Zhulin;  IEEE
Favorite |  | TC[WOS]:15 TC[Scopus]:0 | Submit date:2018/10/30
Single layer feedforward neural networks  random vector functional link networks  broad learning system  deep learning