Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series-Reference-Cited by-同舟云学术

Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series

Published:2008-02-26 Issue:1 Volume:17 Page:121-133
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Wang Kaijun,Zhang Junying,Shen Fengshan,Shi Lingfeng

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-008-0124-8.pdf

Reference23 articles.

1. Murphy KP (2002) Dynamic Bayesian networks: representation, inference and learning. PhD thesis, University of California Berkeley. http://www.cs.ubc.ca/~murphyk

2. Russell S, Norvig P (2003) Artificial intelligence: a modern approach, 2nd edn. Pearson Education, Inc., Upper Saddle River

3. Schuster A, Wolff R, Trock D (2005) A high-performance distributed algorithm for mining association rules. Knowl Inf Syst 7(4): 458–475

4. Berti-Equille L (2007) Data quality awareness: a case study for cost optimal association rule mining. Knowl Inf Syst 11(2): 191–215

5. Pearl J (1988) Probabilistic reasoning in intelligent systems. Morgan Kauffman, San Mateo

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