受强制性开放获取政策约束的文章 - Feng Liang了解详情
可在其他位置公开访问的文章：12 篇
Machine learning for hydrologic sciences: An introductory overview
T Xu, F Liang
Wiley Interdisciplinary Reviews: Water 8 (5), e1533, 2021
强制性开放获取政策： US National Science Foundation, US National Oceanic and Atmospheric …
Quantifying model structural error: Efficient B ayesian calibration of a regional groundwater flow model using surrogates and a data‐driven error model
T Xu, AJ Valocchi, M Ye, F Liang
Water Resources Research 53 (5), 4084-4105, 2017
强制性开放获取政策： US National Science Foundation, US Department of Energy
Bayesian Regularization for Graphical Models With Unequal Shrinkage
L Gan, N Narisetty, F Liang
Journal of the American Statistical Association 2019 (527), https://doi.org …, 2018
强制性开放获取政策： US National Science Foundation
A sparse latent class model for cognitive diagnosis
Y Chen, S Culpepper, F Liang
Psychometrika 85 (1), 121-153, 2020
强制性开放获取政策： US National Science Foundation
Kernel sliced inverse regression: Regularization and consistency
Q Wu, F Liang, S Mukherjee
Abstract and Applied Analysis 2013 (1), 540725, 2013
强制性开放获取政策： US National Institutes of Health
Bayesian calibration of groundwater models with input data uncertainty
T Xu, AJ Valocchi, M Ye, F Liang, YF Lin
Water Resources Research 53 (4), 3224-3245, 2017
强制性开放获取政策： US National Science Foundation, US Department of Energy
Bayesian joint estimation of multiple graphical models
L Gan, X Yang, N Narisetty, F Liang
Advances in Neural Information Processing Systems 32, 2019
强制性开放获取政策： US National Science Foundation
hnRNP I regulates neonatal immune adaptation and prevents colitis and colorectal cancer
ZJ Jin, F Liang, J Yang, W Mei
plos genetics 13 (3), 2017
强制性开放获取政策： US National Institutes of Health
GemBag: Group estimation of multiple Bayesian graphical models
X Yang, L Gan, NN Narisetty, F Liang
Journal of machine learning research 22 (54), 1-48, 2021
强制性开放获取政策： US National Science Foundation
Reno: regularized non-parametric analysis of protein lysate array data
B Li, F Liang, J Hu, X He
Bioinformatics 28 (9), 1223-1229, 2012
强制性开放获取政策： US National Institutes of Health
Consistency of regularized sliced inverse regression for kernel models
Q Wu, F Liang, S Mukherjee
Technical report. Duke University and University of Illinois Urbana-Champaign, 2008
强制性开放获取政策： US National Institutes of Health
Bayesian Estimation of Gaussian Conditional Random Fields
L Gan, NN Narisetty, F Liang
Statistica Sinica 32 (1), 131-152, 2022
强制性开放获取政策： US National Science Foundation
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