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Learning through deterministic assignment of hidden parameters


Sep 13, 2018
Jian Fang, Shaobo Lin, Zongben Xu


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Global Convergence in Deep Learning with Variable Splitting via the Kurdyka-Ɓojasiewicz Property


Jun 11, 2018
Jinshan Zeng, Shikang Ouyang, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao

* 24 pages, 12 figures 

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Constructive neural network learning


Apr 30, 2016
Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang

* 13 pages, 12 figures 

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Greedy Criterion in Orthogonal Greedy Learning


Apr 20, 2016
Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu

* 12 pages, 6 figures. arXiv admin note: text overlap with arXiv:1411.3553 

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Divide and Conquer Local Average Regression


Mar 13, 2016
Xiangyu Chang, Shaobo Lin, Yao Wang

* 36 pages, 5 figures 

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Nonparametric regression using needlet kernels for spherical data


Sep 10, 2015
Shaobo Lin

* 21 pages 

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Shrinkage degree in $L_2$-re-scale boosting for regression


May 17, 2015
Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu

* 11 pages, 27 figures 

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Re-scale boosting for regression and classification


May 06, 2015
Shaobo Lin, Yao Wang, Lin Xu

* 13 pages; 1 figure 

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Model selection of polynomial kernel regression


Mar 07, 2015
Shaobo Lin, Xingping Sun, Zongben Xu, Jinshan Zeng

* 29 pages, 4 figures 

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Greedy metrics in orthogonal greedy learning


Nov 13, 2014
Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu

* 33 pages, 8 figures 

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Learning rates of $l^q$ coefficient regularization learning with Gaussian kernel


Sep 25, 2014
Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu

* 26 pages, 3 figures 

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Learning and approximation capability of orthogonal super greedy algorithm


Sep 18, 2014
Jian Fang, Shaobo Lin, Zongben Xu

* 30 pages,14 figures 

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Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)


Jan 24, 2014
Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu

* 13 pages 

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Does generalization performance of $l^q$ regularization learning depend on $q$? A negative example


Jul 25, 2013
Shaobo Lin, Chen Xu, Jingshan Zeng, Jian Fang

* 35 pages, 3 figures 

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