| 查看: 11216 | 回复: 124 | ||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | ||
[资源]
2015年新著——贝叶斯网络（英文版）
|
||
|
"Bayesian Networks" ed. by Wichian Premchaiswadi Second Edition ITAvE | 2015 | ISBN: 9535105566 9789535105565 | 123 pages | PDF | 11 MB Bayesian Belief Networks are a powerful tool for combining different knowledge sources with various degrees of uncertainty in a mathematically sound and computationally efficient way. A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. When used in conjunction with statistical techniques, the graphical model has several advantages for data modeling. First, because the model encodes dependencies among all variables, it readily handles situations where some data entries are missing. Second, a Bayesian network can be used to learn causal relationships, and hence can be used to gain an understanding about a problem domain and to predict the consequences of intervention. Third, because the model has both causal and probabilistic semantics, it is an ideal representation for combining prior knowledge (which often comes in a causal form) and data. Fourth, Bayesian statistical methods in conjunction with Bayesian networks offer an efficient and principled approach to avoid the over fitting of data. Contents 1 Making a Predictive Diagnostic Model for Rangeland Management by Implementing a State and Transition Model Within a Bayesian Belief Network (Case Study: Ghom- Iran) 2 Building a Bayesian Network Model Based on the Combination of Structure Learning Algorithms and Weighting Expert Opinions Scheme 3 Using Dynamic Bayesian Networks for Investigating the Impacts of Extreme Events 4 A Spatio-Temporal Bayesian Network for Adaptive Risk Management in Territorial Emergency Response Operations 5 Probabilistic Inference for Hybrid Bayesian Networks 6 BN Applications in Operational Risk Analysis: Scope, Limitations and Methodological Requirements  ITAvE | 2015 | ISBN: 9535105566 9789535105565 | 123 pages | PDF | 11 MB |
回复此楼» 本帖附件资源列表
-
欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com - 附件 1 : BayesianNetworks.pdf
2016-01-04 15:15:03, 10.89 M
» 猜你喜欢
260求调剂
已经有5人回复
-
急需调剂
已经有10人回复
-
申博/考博
已经有4人回复
-
化工学硕294分，求导师收留
已经有37人回复
-
求调剂
已经有11人回复
-
一志愿华中农业071010，320求调剂
已经有19人回复
-
304求调剂
已经有7人回复
-
求博导｜生物质基多孔碳/超级电容方向，已有相关成果，寻能源材料/碳材料方向老师
已经有3人回复
-
二苯甲酮酸类衍生物
已经有6人回复
-
接受任何调剂
已经有4人回复
103楼2016-10-28 23:09:13
|
---------------------------------------------------------------------------- 欢迎下载本人上传的其他资源 2015年新著——数字信号处理在实践中应用（英文版） http://muchong.com/bbs/viewthread.php?tid=9553658 2015年新著——无线多跳网络（英文版） http://muchong.com/bbs/viewthread.php?tid=9596721 2015年新著——水印（第一卷）（英文版） http://muchong.com/bbs/viewthread.php?tid=9597133 2015年新著——水印（第二卷）（英文版） http://muchong.com/bbs/viewthread.php?tid=9597663 2015年新著——先进平版印刷术的进展（英文版） http://muchong.com/bbs/viewthread.php?tid=9671973 2015年新著——超宽带通信-新趋势：系统、结构与安装（英文版） http://muchong.com/bbs/viewthread.php?tid=9758135 2015年新著——超宽带通信-新趋势：天线与传播（英文版） http://muchong.com/bbs/viewthread.php?tid=9758179 ---------------------------------------------------------------------------- |
2楼2016-01-04 15:16:39
10楼2016-01-05 08:52:26
简单回复
怕黑的猫头鹰3楼
2016-01-04 15:22
回复
五星好评 顶一下，感谢分享！
2016-01-04 15:32
回复
五星好评 顶一下，感谢分享！
2016-01-04 16:28
回复
五星好评 顶一下，感谢分享！
derek8886楼
2016-01-04 20:08
回复
五星好评 顶一下，感谢分享！
2016-01-04 21:14
回复
五星好评 顶一下，感谢分享！
qqniu8楼
2016-01-04 22:00
回复
五星好评 顶一下，感谢分享！
2016-01-04 23:05
回复
五星好评 顶一下，感谢分享！
wonder011211楼
2016-01-05 09:25
回复
五星好评 顶一下，感谢分享！
wyf_199912楼
2016-01-05 09:32
回复
五星好评 顶一下，感谢分享！
math200013楼
2016-01-05 09:48
回复
五星好评 顶一下，感谢分享！
liu12333814楼
2016-01-05 10:31
回复
五星好评 顶一下，感谢分享！
