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Heng Lian

Showing results (11-20 of 49) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|October 21, 2022
Distributed Estimation of Support Vector Machines for Matrix DataWangli Xu, Jiamin Liu, Heng Lian
Communications in Mathematics and Statistics|April 24, 2025
A Class of Structured High-Dimensional Dynamic Covariance MatricesJin Yang, Heng Lian, Wenyang Zhang
Biometrics|June 26, 2013
Partially linear structure selection in Cox models with varying coefficientsHeng Lian, Peng Lai, Hua Liang
Neural Networks : the Official Journal of the International Neural Network Society|April 21, 2020
Randomized sketches for kernel CCAHeng Lian, Fode Zhang, Wenqi Lu
Journal of the Indian Society for Probability and Statistics|July 29, 2024
Single-Index Mixed-Effects Model for Asymmetric Bivariate Clustered DataWeihua Zhao, Dipankar Bandyopadhyay, Heng Lian
IEEE Transactions on Neural Networks and Learning Systems|September 5, 2019
Debiasing and Distributed Estimation for High-Dimensional Quantile RegressionWeihua Zhao, Fode Zhang, Heng Lian
Neural Networks : the Official Journal of the International Neural Network Society|January 14, 2025
Improved analysis of supervised learning in the RKHS with random features: Beyond least squaresJiamin Liu, Lei Wang, Heng Lian
Biometrics|September 29, 2011
Identification of partially linear structure in additive models with an application to gene expression prediction from sequencesHeng Lian, Xin Chen, Jian-Yi Yang
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 3, 2015
Variance Function Partially Linear Single-Index Models<sup>1.</sup>Heng Lian, Hua Liang, Raymond J Carroll
Current Opinion in Plant Biology|June 5, 2015
Plant developmental transitions: the role of microRNAs and sugarsSha Yu, Heng Lian, Jia-Wei Wang
Pageof 5

Showing results (11-20 of 49) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2022
Distributed Estimation of Support Vector Machines for Matrix DataWangli Xu, Jiamin Liu, Heng Lian
Communications in Mathematics and Statistics|April 24, 2025
A Class of Structured High-Dimensional Dynamic Covariance MatricesJin Yang, Heng Lian, Wenyang Zhang
Biometrics|June 26, 2013
Partially linear structure selection in Cox models with varying coefficientsHeng Lian, Peng Lai, Hua Liang
Neural Networks : the Official Journal of the International Neural Network Society|April 21, 2020
Randomized sketches for kernel CCAHeng Lian, Fode Zhang, Wenqi Lu
Journal of the Indian Society for Probability and Statistics|July 29, 2024
Single-Index Mixed-Effects Model for Asymmetric Bivariate Clustered DataWeihua Zhao, Dipankar Bandyopadhyay, Heng Lian
IEEE Transactions on Neural Networks and Learning Systems|September 5, 2019
Debiasing and Distributed Estimation for High-Dimensional Quantile RegressionWeihua Zhao, Fode Zhang, Heng Lian
Neural Networks : the Official Journal of the International Neural Network Society|January 14, 2025
Improved analysis of supervised learning in the RKHS with random features: Beyond least squaresJiamin Liu, Lei Wang, Heng Lian
Biometrics|September 29, 2011
Identification of partially linear structure in additive models with an application to gene expression prediction from sequencesHeng Lian, Xin Chen, Jian-Yi Yang
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 3, 2015
Variance Function Partially Linear Single-Index Models<sup>1.</sup>Heng Lian, Hua Liang, Raymond J Carroll
Current Opinion in Plant Biology|June 5, 2015
Plant developmental transitions: the role of microRNAs and sugarsSha Yu, Heng Lian, Jia-Wei Wang
Pageof 5