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	Deep neural networks algorithms for stochastic control problems on finite horizon: Convergence analysis 期刊论文 SIAM Journal on Numerical Analysis,2021, 卷号: 59, 期号: 1, 页码: 525-557 作者: Huré, Côme; Pham, Huyén; Bachouch, Achref; Langrené, Nicolas 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/08/29 Convergence analysis Deep learning Dynamic programming Performance iteration Regress-now Statistical risk
	Zero-Inflated Beta Regression for Differential Abundance Analysis with Metagenomics Data 期刊论文 Journal of Computational Biology,2016, 卷号: 23, 期号: 2, 页码: 102-110 作者: Peng, Xiaoling; Li, Gang; Liu, Zhenqiu 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/01/11 algorithms graphs and networks machine learning metagenomics statistical models
	A statistical learning approach to Chang'E microwave radiometer data calibration 会议论文 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014 作者: Tsang，K. T.; Fu，S.; Gu，J.; Zhou，M.; Chan，K. L. 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/10/19 brightness temperature calibration Learning microwave modelling remote sensing Statistical
	Model assessment through renormalization group in statistical learning 期刊论文 Control and Intelligent Systems,2014, 卷号: 42, 期号: 2, 页码: 126-135 作者: Wang, Qingguo; Yu, Chao; Zhang, Yong 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/07/15 Binary classification Model assessment Renor-malization Group Statistical learning Support vector machines
	A statistical learning theory approach for uncertain linear and bilinear matrix inequalities 期刊论文 Automatica,2014, 卷号: 50, 期号: 6, 页码: 1617-1625 作者: Chamanbaz, Mohammadreza; Dabbene, Fabrizio; Tempo, Roberto; Venkataramanan, Venkatakrishnan; Wang, Qingguo 收藏 \| 浏览/下载：7/0 \| 提交时间：2021/07/15 Probabilistic design Randomized algorithms Statistical learning theory Uncertain linear/bilinear matrix inequality Vapnik-Chervonenkis dimension