Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method

Guo, Z.H.I.G.A.O., Gao, X.I.A.O.G.U.A.N.G., Hao, R.E.N., Yang, Y.U., Di, R.U.O.H.A.I., and Chen, D. (2017). Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method. International Journal of Approximate Reasoning, 91(Dec), 22-35. doi: https://doi.org/10.1016/j.ijar.2017.08.009

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Keywords: Bayesian network, Parameter learning, Small data set, Artificial Intelligence And Image Processing, Domain knowledge
Divisions: Schools > Engineering > Computing and Informatics
DOI: https://doi.org/10.1016/j.ijar.2017.08.009
Date Deposited: 08 Nov 2017 16:42
Creators:
CreatorsORCID
Guo, Zhi-gao
Gao, Xiao-guang
Hao, Ren
Yang, Yu
Di, Ruo-hai
Chen, D
Item Type: Article
Creators: Guo, Zhi-gao and Gao, Xiao-guang and Hao, Ren and Yang, Yu and Di, Ruo-hai and Chen, D
Depositing User: LSBU Open Access Team
Last Modified: 04 Sep 2018 03:04
Item ID: 1441

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