在该协商模型的基础上引入贝叶斯学习机制，并分别对更新信念、生成提议等协商过程作了详细阐述。
We embed Bayes learning mechanism on the basis of the negotiation model, and elaborate process descriptions of evaluating offers, belief revision and proposing counter-offers are presented.
一个参数概率模型用于得到SBM谱密度，一个贝叶斯框架用于统计更新到本地记录。
A parametric probabilistic model is sought for the SBM spectral densities, and a Bayesian framework is used to statistically update it to local records.
针对潜在语义分析（LSA）模型的权重更新问题，提出了一种基于贝叶斯理论的自适应权重更新算法ALSAB。
To the weight update of Latent Semantic Analysis(LSA)model, this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB).
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