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An Introduction to Bayesian Networks(in Chinese). Nevin Zhang &
Haipeng Guo. The Science Press, Beijing, 2006.
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A Machine Learning Approach to Algorithm Selection for NP-hard
Optimization Problems: A Case Study on the MPE Problem. H. Guo and
W. Hsu. Annals of Operations Research, Special Issue on "STOCHASTIC
SEARCH ALGORITHMS", 2006. To appear.
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On Multifractal Property of the Joint Probability Distributions and
Its Application to Bayesian Network Inference. H. Guo and W. Hsu.
The 7th Asia-Pacific Conference on Complex Systems, Dec. 2004
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A Learning-Based Algorithm Selection Meta-Reasoner for the Real-Time
MPE Problem. Lecture Notes in Computer Science, Volume 3339 / 2004,
17th Australian Joint Conference on Artificial Intelligence 2004: p.
307-318.
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An ACO Algorithm for the Most Probable Explanation Problem. Haipeng
Guo, Prashanth R. Boddhireddy, William H. Hsu. Lecture Notes in
Computer Science, Volume 3339 / 2004, Australian Conference on
Artificial Intelligence 2004: p. 778-790.
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H. Guo. Algorithm Selection for Sorting and Probabilistic Inference:
A Machine Learning-Based Approach. Ph.D. Thesis. Department of
Computing and Information Sciences, Kansas State University. August,
2003.
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Haipeng Guo, William H. Hsu: GA-Hardness Revisited. GECCO 2003: p.
1584.