Computer Science ›› 2009, Vol. 36 ›› Issue (2): 199-202.

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HU Chun-ling ,HU Xue-gang (School of Computer and Information, Hefei University of Technology, Hefei 230009, China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Based on the ideas of parallel stochastic sampling, this paper put forward an algorithm PCMHS for learning Bayesian networks. The PCMHS algorithm runs multi parallel Markov chains converging to Boltzmann distributions. The algorithm PCMHS, based on the mu

Key words: Bayesian networks, Structure learning, Stochastic sampling, Markov chain, Proposal distribution

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