Research on Bayesian network structure learning algorithm for context-aware computing
面向上下文感知计算的贝叶斯网络结构自学习算法的研究

By analyzing the characteristics of context in context-aware computing, this paper presented a generic context-aware computing-oriented algorithm for Bayesian network structure learning. With sufficient data the relationships between contexts could be found by the algorithm, and a Bayesian network structure used for context inference could be formed consequently. Theoretical and experimental results all show that the algorithm can find a Bayesian network structure similar with the optimal with affordable search time.