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第419行： − − − :An earlier version appears as [https://web.archive.org/web/20060719171558/http://research.microsoft.com/research/pubs/view.aspx?msr_tr_id=MSR-TR-95-06 Technical Report MSR-TR-95-06], [[Microsoft Research]], March 1, 1995. The paper is about both parameter and structure learning in Bayesian networks. − − An earlier version appears as [https://web.archive.org/web/20060719171558/http://research.microsoft.com/research/pubs/view.aspx?msr_tr_id=MSR-TR-95-06 Technical Report MSR-TR-95-06], Microsoft Research, March 1, 1995. The paper is about both parameter and structure learning in Bayesian networks. 第448行：
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→References 参考文献
:也显示为{{cite journal |date=March 1997|title= Bayesian Networks for Data Mining |journal= Data Mining and Knowledge Discovery|volume= 1| issue= 1 |pages= 79–119 |doi= 10.1023/A:1009730122752 |last1= Heckerman |first1= David}}
:也显示为{{cite journal |date=March 1997|title= Bayesian Networks for Data Mining |journal= Data Mining and Knowledge Discovery|volume= 1| issue= 1 |pages= 79–119 |doi= 10.1023/A:1009730122752 |last1= Heckerman |first1= David}}
早期的版本是[ https://web.archive.org/web/20060719171558/http://Research.Microsoft.com/Research/pubs/view.aspx?msr_tr_id=MSR-TR-95-06技术报告 MSR-TR-95-06] ，微软研究院，1995年3月1日。本文主要研究贝叶斯网络的参数学习和结构学习。
早期的版本是[ https://web.archive.org/web/20060719171558/http://Research.Microsoft.com/Research/pubs/view.aspx?msr_tr_id=MSR-TR-95-06技术报告 MSR-TR-95-06] ，微软研究院，1995年3月1日。本文主要研究贝叶斯网络的参数学习和结构学习。
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==延伸阅读==
==延伸阅读==