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Shao-Bo Lin

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

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Neural Networks : the Official Journal of the International Neural Network Society|July 30, 2017
Limitations of shallow nets approximationShao-Bo Lin
IEEE Transactions on Neural Networks and Learning Systems|October 4, 2018
Generalization and Expressivity for Deep NetsShao-Bo Lin
IEEE Transactions on Neural Networks and Learning Systems|February 14, 2022
Construction of Deep ReLU Nets for Spatially Sparse LearningXia Liu, Di Wang, Shao-Bo Lin
IEEE Transactions on Neural Networks and Learning Systems|April 11, 2020
Random Sketching for Neural Networks With ReLUDi Wang, Jinshan Zeng, Shao-Bo Lin
Neural Networks : the Official Journal of the International Neural Network Society|January 13, 2022
Fully corrective gradient boosting with squared hinge: Fast learning rates and early stoppingJinshan Zeng, Min Zhang, Shao-Bo Lin
Neural Computation|April 15, 2017
Learning Rates for Classification with Gaussian KernelsShao-Bo Lin, Jinshan Zeng, Xiangyu Chang
IEEE Transactions on Cybernetics|July 11, 2020
Learning With Selected FeaturesShao-Bo Lin, Jian Fang, Xiangyu Chang
IEEE Transactions on Neural Networks and Learning Systems|December 12, 2019
Realizing Data Features by Deep NetsZheng-Chu Guo, Lei Shi, Shao-Bo Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 20, 2020
Depth Selection for Deep ReLU Nets in Feature Extraction and GeneralizationZhi Han, Siquan Yu, Shao-Bo Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 16, 2020
Realization of Spatial Sparseness by Deep ReLU Nets With Massive DataCharles K Chui, Shao-Bo Lin, Bo Zhang, et al.
Pageof 1

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

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|July 30, 2017
Limitations of shallow nets approximationShao-Bo Lin
IEEE Transactions on Neural Networks and Learning Systems|October 4, 2018
Generalization and Expressivity for Deep NetsShao-Bo Lin
IEEE Transactions on Neural Networks and Learning Systems|February 14, 2022
Construction of Deep ReLU Nets for Spatially Sparse LearningXia Liu, Di Wang, Shao-Bo Lin
IEEE Transactions on Neural Networks and Learning Systems|April 11, 2020
Random Sketching for Neural Networks With ReLUDi Wang, Jinshan Zeng, Shao-Bo Lin
Neural Networks : the Official Journal of the International Neural Network Society|January 13, 2022
Fully corrective gradient boosting with squared hinge: Fast learning rates and early stoppingJinshan Zeng, Min Zhang, Shao-Bo Lin
Neural Computation|April 15, 2017
Learning Rates for Classification with Gaussian KernelsShao-Bo Lin, Jinshan Zeng, Xiangyu Chang
IEEE Transactions on Cybernetics|July 11, 2020
Learning With Selected FeaturesShao-Bo Lin, Jian Fang, Xiangyu Chang
IEEE Transactions on Neural Networks and Learning Systems|December 12, 2019
Realizing Data Features by Deep NetsZheng-Chu Guo, Lei Shi, Shao-Bo Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 20, 2020
Depth Selection for Deep ReLU Nets in Feature Extraction and GeneralizationZhi Han, Siquan Yu, Shao-Bo Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 16, 2020
Realization of Spatial Sparseness by Deep ReLU Nets With Massive DataCharles K Chui, Shao-Bo Lin, Bo Zhang, et al.
Pageof 1