期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：1
出版社：IJCSI Press
摘要：Machine learning is the estimation of the topology (links) of the network, it can be achieved by utilizing a search algorithm through the possible network structures, because it is finding the best network that fits the available data and is optimally complex. In this paper, a greater importance is given to the search algorithm because we have assumed that the data will be complete. We focus on Two search algorithms are introduced to learn the structure of a Bayesian network in the paper. The heuristic search algorithm is simple and explores a limited number of network structures. On the other hand, the exhaustive search algorithm is complex and explores many possible network structures.
