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BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes Journal article
Feng, Liangjun, Zhao, Chunhui, Chen, C. L.Philip, Li, Yuan Long, Zhou, Min, Qiao, Honglin, Fu, Chuan. BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes[J]. Neurocomputing, 2020, 412, 486-501.
Authors:  Feng, Liangjun;  Zhao, Chunhui;  Chen, C. L.Philip;  Li, Yuan Long;  Zhou, Min; et al.
Favorite | TC[WOS]:11 TC[Scopus]:16  IF:5.5/5.5 | Submit date：2021/12/06
Additive Model  Broad Network  Cascade Model  Gradient Boosting Machine  Greedy Strategy  Incremental Learning  
A Many-Objective Evolutionary Algorithm with Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning Journal article
Ge, Hongwei, Zhao, Mingde, Sun, Liang, Wang, Zhen, Tan, Guozhen, Zhang, Qiang, Philip Chen, C. L.. A Many-Objective Evolutionary Algorithm with Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning[J]. IEEE Transactions on Evolutionary Computation, 2019, 23(4), 572-586.
Authors:  Ge, Hongwei;  Zhao, Mingde;  Sun, Liang;  Wang, Zhen;  Tan, Guozhen; et al.
Favorite | TC[WOS]:61 TC[Scopus]:71  IF:11.7/15.5 | Submit date：2022/05/17
Clustering  Incremental Machine Learning  Interacting Processes  Many-objective Optimization  Reference Vector  
Broad Learning System: structural extensions on single-layer and multi-layer neural networks Conference paper
Liu, Zhulin, Chen, C. L. Philip, IEEE. Broad Learning System: structural extensions on single-layer and multi-layer neural networks[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 136-141.
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  IEEE
Favorite | TC[WOS]:36 TC[Scopus]:48 | 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  
Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network Book chapter
出自: Big Data Applications and Use Cases:Springer, Cham, 2016, 页码:175-196
Authors:  Fong, Simon;  Fang, Charlie;  Tian, Neal;  Wong, raymond;  Yap, Bee Wah
Favorite | TC[WOS]:7 TC[Scopus]:0 | Submit date：2019/07/24
Neural Network  Incremental Machine Learning  Classification  Big Data  Parameter Optimization  
Knowledge acquisition in supporting diagnosis for e-healthcare infrastructure Conference paper
Chao S., Wong F.. Knowledge acquisition in supporting diagnosis for e-healthcare infrastructure[C], 2010, 322-327.
Authors:  Chao S.;  Wong F.
Favorite |  | Submit date：2018/12/24
Data Mining  Data Pre-processing  E-healthcare  Incremental Learning  Machine Learning  
Hierarchical classification of business information on the web using incremental learning Conference paper
Yi Wang, Zhiguo Gong, Jingzhi Guo. Hierarchical classification of business information on the web using incremental learning[C], 2009, 303-309.
Authors:  Yi Wang;  Zhiguo Gong;  Jingzhi Guo
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2019/02/12
Hierarchical Classification  Incremental Learning  Support Vector Machine