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西安交通大学 [10]

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限定条件	专题：西安交通大学第一署名单位第一作者单位通讯作者单位

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	Learning With l(1)-Regularizer Based on Markov Resampling 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: [db:dc_citation_issue], 页码: 1189-1201 作者: Gong, Tieliang; Zou, Bin; Xu, Zongben 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/02 Markov resampling learning theory least square regression l(1) regularization uniformly ergodic Markov chains (u.e.M.c)
	A power estimation method based on performance features in MapReduce environments 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2015, 卷号: 49, 期号: [db:dc_citation_issue], 页码: 14-19 作者: Fan, Yuanquan; Wu, Weiguo; Xu, Yunlong; Gao, Yan 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/02 Energy estimation methods Least square support vector machines Machine learning methods Map-reduce Performance features Performance monitoring Power estimation method Power estimations
	Quantised kernel least mean square with desired signal smoothing 期刊论文 ELECTRONICS LETTERS, 2015, 卷号: 51, 期号: [db:dc_citation_issue] 作者: Xu, Xiguang; Qu, Hua; Zhao, Jihong; Yang, Xiaohan; Chen, Badong 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/02 Monte Carlo methods signal processing smoothing methods input space compression learning (artificial intelligence) quantised kernel least mean square QKLMS online learning algorithm desired signal smoothing least mean squares methods Monte Carlo simulations
	Extreme Learning Machine for Regression and Multiclass Classification 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 卷号: 42, 期号: [db:dc_citation_issue], 页码: 513-529 作者: Huang, Guang-Bin 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/10 regularization network kernel Extreme learning machine (ELM) least square support vector machine (LS-SVM) feature mapping proximal support vector machine (PSVM)
	Generalization performance of least-square regularized regression algorithm with Markov chain samples 期刊论文 JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2012, 卷号: 388, 期号: [db:dc_citation_issue], 页码: 333-343 作者: Zou, Bin; Li, Luoqing; Xu, Zongben 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/10 Least-square regularized regression Learning theory Markov chain Generalization Uniformly ergodic
	Estimation of learning rate of least square algorithm via Jackson operator 期刊论文 NEUROCOMPUTING, 2011, 卷号: 74, 期号: [db:dc_citation_issue], 页码: 516-521 作者: Zhang, Yongquan; Cao, Feilong; Xu, Zongben 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/10 Rate of convergence Learning theory Covering number Jackson operator
	Research on extreme learning of neural networks 期刊论文 Jisuanji Xuebao/Chinese Journal of Computers, 2010, 卷号: 33, 期号: 2, 页码: 279-287 作者: Deng, Wan-Yu; Zheng, Qing-Hua; Chen, Lin; Xu, Xue-Bin 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/18 Extreme learning machine Least Square Number of iterations Single-hidden layer feed-forward neural network Structural risk minimization Structural risks Traditional learning Weighted least squares
	Least Square Transduction Support Vector Machine 期刊论文 NEURAL PROCESSING LETTERS, 2009, 卷号: 29, 期号: 2, 页码: 133-142 作者: Zhang, Rui; Wang, Wenjian; Ma, Yichen; Men, Changqian 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/18 Semi-supervised learning Least square support vector machine Supervised learning Least square transduction support vector machine Transductive support vector machine
	Regularized Extreme Learning Machine 会议论文作者: Deng, Wanyu; Zheng, Qinghua; Chen, Lin 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/18 Least Square Structural Risk Extreme Learning Machine Neural Network
	Theoretical methods in machine learning 图书章节作者: Chen, Badong; Liu, Weifeng; Principe, José C. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/02 Affine projection algorithms Computational bandwidth Kernel adaptive filters Kernel leastmean-square (KLMS) Kernel recursive least squares Mean square convergences Optimization procedures Reproducing Kernel Hilbert spaces

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