Overlapping decomposition for causal graphical modeling
Causal graphical models are developed to detect the dependence relationships between random variables and provide intuitive explanations for the relationships in complex systems. Most of existing work focuses on learning a single graphical model for all the variables. However, a single graphical mod...
Saved in:
Main Authors: | Han, Lei, Song, Guojie, Cong, Gao, Xie, Kunqing |
---|---|
其他作者: | School of Computer Engineering |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/98826 http://hdl.handle.net/10220/12631 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Animation and graphical model for crowd simulation
由: Khadafi, Muhammad.
出版: (2010) -
Squeezing Long Sequence Data for Efficient Similarity Search
由: SONG, Guojie, et al.
出版: (2008) -
Beyond Gaussian : copula graphical models for non-Gaussian data
由: Yu, Hang
出版: (2015) -
Geometric model for computer graphics : Disk and Ball B-Spline
由: Seah, Hock Soon., et al.
出版: (2008) -
Pairwise copula cyclic graphical model for spatial extremes modeling
由: Zhu, Junting
出版: (2014)