Xiang, Yang, 1954-...
Xiang, Yang
Xiang, Yang, informaticien
Xiang, Yang 1955-
Yang Xiang obor působnosti: informační a počítačové vědy
Xiang, Yang, kunstmatige intelligentie, 1954-
Xiang, Y
VIAF ID: 105671782 ( Personal )
Permalink: http://viaf.org/viaf/105671782
Preferred Forms
- 200 _ | ‡a Xiang ‡b Yang
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- 100 1 _ ‡a Xiang, Yang ‡d 1954-
- 100 1 _ ‡a Xiang, Yang ‡d 1955-
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- 100 1 _ ‡a Xiang, Yang, ‡d 1954-
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- 100 1 _ ‡a Xiang, Yang, ‡d 1954-...
- 100 0 _ ‡a Yang Xiang ‡c obor působnosti: informační a počítačové vědy
4xx's: Alternate Name Forms (5)
5xx's: Related Names (2)
- 510 2 _ ‡a Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003 ; 16 (Halifax, Canada) : 11-06-2003 - 13-06-2003
- 510 2 _ ‡a Huazhong-Keji-Daxue ‡b School of Management
Works
Title | Sources |
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Advances in artificial intelligence : 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11-13, 2003 : proceedings | |
AI 2003 | |
Algorithms and Architectures for Parallel Processing 12th International Conference, ICA3PP 2012, Fukuoka, Japan, September 4-7, 2012, Proceedings, Part II | |
Belief updating in MSBNs without repeated local propagations | |
Cooperative triangulation in MSBNs without revealing subnet structures | |
Cyberspace Safety and Security 4th International Symposium, CSS 2012, Melbourne, Australia, December 12-13, 2012. Proceedings | |
Data and knowledge engineering third international conference ; proceedings | |
Hua Gang zhuan | |
Learning belief networks in pseudo-independent domains | |
Learning conditional independence relations from a probabilistic model | |
A microscopic study of minimum entropy search in learning decomposable Markov networks | |
Models learnable by belief net learning algorithms equipped with single-link search | |
A probabilistic framework for multi-agent distributed interpretation and optimization of communication | |
Probabilistic reasoning in multiagent systems : a graphical models approach | |
Software Similarity and Classification | |
Towards more efficient inference in dynamic Bayesian networks | |
What necessitate multiply sectioned Bayesian networks |