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ORCIDTao Lin 0012
Person information
- affiliation: University of Regina, Department of Computer Science, SK, Canada
Other persons with the same name
- Tao Lin — disambiguation page
- Tao Lin 0001
![[0000-0003-1170-636X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1170-636X")
— Communication University of China, State Key Laboratory of Media Convergence and Communication, Beijing, China (and 2 more) - Tao Lin 0002 — University of Melbourne, Australia
- Tao Lin 0003 — Virginia Tech, Blacksburg, VA, USA
- Tao Lin 0004 — EPFL, Lausanne, Switzerland
- Tao Lin 0005 — Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 2 more)
- Tao Lin 0006 — Waseda University, Tokyo, Japan (and 1 more)
- Tao Lin 0007 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Tao Lin 0008 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China (and 2 more)
- Tao Lin 0009 — CAS Institute of Urban Environment, Key Lab of Urban Environment and Health, Xiamen, China
- Tao Lin 0010 — Amitive Inc., Redwood City, CA, USA
- Tao Lin 0011 — Shanghai Jiao Tong University, Welding Engineering Institute of Material Science and Engineering, China
- Tao Lin 0013 — Harvard University, Cambridge, MA, USA
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2000 – 2009
- 2004
[c5]S. K. Michael Wong, Tao Lin:
Computing Marginals with Hierarchical Acyclic Hypergraphs. FLAIRS 2004: 862-867- 2003
- [j1]S. K. Michael Wong, Tao Lin:
An alternative characterization of a Bayesian network. Int. J. Approx. Reason. 33(3): 221-234 (2003) - 2002
- [c4]S. K. Michael Wong, Dan Wu, Tao Lin:
A Structural Characterization of DAG-Isomorphic Dependency Models. AI 2002: 195-209 - [c3]S. K. Michael Wong, Tao Lin, Dan Wu:
Construction of a Non-redundant Cover for Conditional Independencies. AI 2002: 210-220 - [c2]S. K. Michael Wong, Tao Lin:
Conflict Resolution in Probabilistic Multi-Agent Systems. FLAIRS 2002: 529-533 - [c1]S. K. Michael Wong, Tao Lin, Dan Wu:
Construction of a Bayesian DAG from Conditional Independencies. AI&M 2002
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