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- University of Chinese Academy of SciencesCN23 papers
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Showing 2016 · cs.LGShow all
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cs.LG2016★ 3 cited
Constructive neural network learning
Shaobo Lin, Jinshan Zeng, Xiaoqin Zhang
In this paper, we aim at developing scalable neural network-type learning systems. Motivated by the idea of "constructive neural networks" in approximation theory, we focus on "con…
cs.LG2016★ 1 cited
Divide and Conquer Local Average Regression
Xiangyu Chang, Shaobo Lin, Yao Wang
The divide and conquer strategy, which breaks a massive data set into a se- ries of manageable data blocks, and then combines the independent results of data blocks to obtain a fin…