A New Approach to Learn the Equivalence Class of Bayesian Network

It’s a well-known fact that constraint-based algorithms for learning Bayesian network(BN) structure reckon on a large number of conditional independence(C1) tests.Therefore,it is difficult to learn a BN for indicating the original causal relations in the true graph.In this paper,a two-phase method for learning equivalence class of BN is introduced.The first phase of the method learns a skeleton of the BN by CI tests.In this way,it reduces the number of tests compared with other existing algorithms and decreases the running time drastically.The second phase of the method orients edges that exist in all BN equivalence classes.Our method is tested on the ALARM network and experimental results show that our approach outperforms the other algorithms.     

对园林工程施工质量管理与控制的探讨

随着现代城市的不断发展，城市园林建设不断加强，成为了现代城市文明的重要组成部分。本文主要从园林工程项目质量内涵和完善园林工程质量管理体系两个方面对园林工程施工质量管理与控制进行了探讨。     

论生态园林城市的沿江风光带景观建设

以生态学理论为指导,通过对城市地理,历史,人文条件及沿江景观现状的分析,探讨了生态园林城市沿江风光带景观建设的前提,原则,方法,从而为生态园林城市风光带景观建设的规划设计提供了一个范例。