Well File:
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- Well Plat ( results)
- Wellbore Schematic ( results)
- Directional Survey ( results)
- Fluid Sample ( results)
- Log ( results)
- Density ( results)
- Gamma Ray ( results)
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- Resistivity ( results)
- Report ( results)
- Daily Report ( results)
- End of Well Report ( results)
- Well Completion Report ( results)
- Rock Sample ( results)
Feng Liang
Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan, Xinming Yang, Naveen Narisetty, Feng Liang
In this paper, we propose a novel Bayesian group regularization method based on the spike and slab Lasso priors for jointly estimating multiple graphical models. The proposed method can be used to estimate common sparsity structure underlying the graphical models while capturing potential heterogeneity of the precision matrices corresponding to those models.
Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan, Xinming Yang, Naveen Narisetty, Feng Liang
In this paper, we propose a novel Bayesian group regularization method based on the spike and slab Lasso priors for jointly estimating multiple graphical models. The proposed method can be used to estimate common sparsity structure underlying the graphical models while capturing potential heterogeneity of the precision matrices corresponding to those models.
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang
Neural Information Processing Systems http://nips.cc/