受强制性开放获取政策约束的文章 - Jun Liu了解详情
无法在其他位置公开访问的文章：1 篇
Sparse Inverse Covariance Analysis of human brain for Alzheimer's disease study
R Patel, J Liu, K Chen, E Reiman, G Alexander, J Ye
Complex Medical Engineering, 2009. CME. ICME International Conference on, 1-5, 2009
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：13 篇
Modeling disease progression via multi-task learning
J Zhou, J Liu, VA Narayan, J Ye, ...
NeuroImage 78, 233-248, 2013
强制性开放获取政策： US National Institutes of Health, Canadian Institutes of Health Research
Modeling disease progression via fused sparse group lasso
J Zhou, J Liu, VA Narayan, J Ye
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
强制性开放获取政策： US National Institutes of Health
Large-scale sparse logistic regression
J Liu, J Chen, J Ye
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
强制性开放获取政策： US National Institutes of Health
A convex formulation for learning shared structures from multiple tasks
J Chen, L Tang, J Liu, J Ye
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
强制性开放获取政策： US National Institutes of Health
Sparse methods for biomedical data
J Ye, J Liu
ACM SIGKDD Explorations Newsletter 14 (1), 4-15, 2012
强制性开放获取政策： US National Institutes of Health
Efficient recovery of jointly sparse vectors
L Sun, J Liu, J Chen, J Ye
Advances in Neural Information Processing Systems 22, 1812-1820, 2009
强制性开放获取政策： US National Institutes of Health
Safe Screening With Variational Inequalities and Its Application to LASSO
J Liu, Z Zhao, J Wang, J Ye
arXiv preprint arXiv:1307.7577, 2013
强制性开放获取政策： US National Institutes of Health
Temporally constrained group sparse learning for longitudinal data analysis in Alzheimer's disease
B Jie, M Liu, J Liu, D Zhang, D Shen
IEEE Transactions on Biomedical Engineering 64 (1), 238-249, 2016
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
L Sun, R Patel, J Liu, K Chen, T Wu, J Li, E Reiman, J Ye
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
强制性开放获取政策： US National Institutes of Health
Temporally-constrained group sparse learning for longitudinal data analysis
D Zhang, J Liu, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2012
强制性开放获取政策： US National Institutes of Health
Learning the optimal neighborhood kernel for classification
J Liu, J Chen, S Chen, J Ye
Twenty-First International Joint Conference on Artificial Intelligence, 2009
强制性开放获取政策： US National Institutes of Health
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization
K Zhang, S Zhang, J Liu, J Wang, J Zhang
International Conference on Machine Learning, 7493-7501, 2019
强制性开放获取政策： 国家自然科学基金委员会
Low-rank decomposition meets kernel learning: A generalized Nyström method
L Lan, K Zhang, H Ge, W Cheng, J Liu, A Rauber, XL Li, J Wang, H Zha, ...
Artificial Intelligence 250, 1-15, 2017
强制性开放获取政策： 国家自然科学基金委员会
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