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Learning in Graphical Models最新文献

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A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants 证明增量、稀疏和其他变体的Em算法的观点
Pub Date : 1998-03-26 DOI: 10.1007/978-94-011-5014-9_12
Radford M. Neal, Geoffrey E. Hinton
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引用次数: 2707
Introduction to Monte Carlo Methods 蒙特卡罗方法导论
Pub Date : 1998-03-26 DOI: 10.1007/978-94-011-5014-9_7
D. MacKay
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引用次数: 366
Latent Variable Models 潜在变量模型
Pub Date : 1998-03-26 DOI: 10.1007/978-94-011-5014-9_13
Christopher M. Bishop
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引用次数: 13
The Multiinformation Function as a Tool for Measuring Stochastic Dependence 多信息函数作为测量随机依赖性的工具
Pub Date : 1998-03-26 DOI: 10.1007/978-94-011-5014-9_10
M. Studený, J. Vejnarová
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引用次数: 198
Chain Graphs and Symmetric Associations 链图和对称关联
Pub Date : 1998-03-26 DOI: 10.1007/978-94-011-5014-9_9
T. Richardson
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引用次数: 38
Introduction to Inference for Bayesian Networks 贝叶斯网络推理导论
Pub Date : 1998-03-26 DOI: 10.1007/978-94-011-5014-9_1
R. Cowell
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引用次数: 100
Suppressing Random Walks in Markov Chain Monte Carlo Using Ordered Overrelaxation 利用有序过松弛抑制马尔可夫链蒙特卡洛中的随机游动
Pub Date : 1995-06-22 DOI: 10.1007/978-94-011-5014-9_8
Radford M. Neal
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引用次数: 160
期刊
Learning in Graphical Models
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