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Shaobo Lin

Showing results (1-10 of 15) with videos related to

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IEEE Transactions on Cybernetics|July 17, 2018
Fast Learning With Polynomial KernelsShaobo Lin, Jinshan Zeng
IEEE Transactions on Cybernetics|December 25, 2018
Learning Through Deterministic Assignment of Hidden ParametersJian Fang, Shaobo Lin, Zongben Xu
IEEE Transactions on Neural Networks and Learning Systems|January 4, 2019
Rescaled Boosting in ClassificationYao Wang, Xu Liao, Shaobo Lin
Neural Networks : the Official Journal of the International Neural Network Society|May 31, 2011
Essential rate for approximation by spherical neural networksShaobo Lin, Feilong Cao, Zongben Xu
IEEE Transactions on Cybernetics|July 12, 2018
Constructive Neural Network LearningShaobo Lin, Jinshan Zeng, Xiaoqin Zhang
Statistica Sinica|May 10, 2016
Prediction-based Termination Rule for Greedy Learning with Massive DataChen Xu, Shaobo Lin, Jian Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares ApproximationXiangyu Chang, Yan Zhong, Yao Wang, et al.
Neural Computation|July 25, 2014
Learning rates of lq coefficient regularization learning with gaussian kernelShaobo Lin, Jinshan Zeng, Jian Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 29, 2014
Is extreme learning machine feasible? A theoretical assessment (part I)Xia Liu, Shaobo Lin, Jian Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 29, 2014
Is extreme learning machine feasible? A theoretical assessment (part II)Shaobo Lin, Xia Liu, Jian Fang, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Cybernetics|July 17, 2018
Fast Learning With Polynomial KernelsShaobo Lin, Jinshan Zeng
IEEE Transactions on Cybernetics|December 25, 2018
Learning Through Deterministic Assignment of Hidden ParametersJian Fang, Shaobo Lin, Zongben Xu
IEEE Transactions on Neural Networks and Learning Systems|January 4, 2019
Rescaled Boosting in ClassificationYao Wang, Xu Liao, Shaobo Lin
Neural Networks : the Official Journal of the International Neural Network Society|May 31, 2011
Essential rate for approximation by spherical neural networksShaobo Lin, Feilong Cao, Zongben Xu
IEEE Transactions on Cybernetics|July 12, 2018
Constructive Neural Network LearningShaobo Lin, Jinshan Zeng, Xiaoqin Zhang
Statistica Sinica|May 10, 2016
Prediction-based Termination Rule for Greedy Learning with Massive DataChen Xu, Shaobo Lin, Jian Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares ApproximationXiangyu Chang, Yan Zhong, Yao Wang, et al.
Neural Computation|July 25, 2014
Learning rates of lq coefficient regularization learning with gaussian kernelShaobo Lin, Jinshan Zeng, Jian Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 29, 2014
Is extreme learning machine feasible? A theoretical assessment (part I)Xia Liu, Shaobo Lin, Jian Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 29, 2014
Is extreme learning machine feasible? A theoretical assessment (part II)Shaobo Lin, Xia Liu, Jian Fang, et al.
Pageof 2