没有合适的资源?快使用搜索试试~ 我知道了~
首页GeNIe 用户手册 2018
资源详情
资源评论
资源推荐
®
GeNIe Modeler
USER MANUAL
Version 2.3.1, Built on 12/10/2018
BayesFusion, LLC
This page is intentionally left blank.
Remove this text from the manual
template if you want it completely blank.
3
GeNIe Modeler
Version 2.3.1, Built on 12/10/2018
Table of Contents
1. Read me first
9
2. Hello GeNIe!
11
3. Introduction
29
3.1 Guide to GeNIe manual .................................................................................................... 30
3.2 GeNIe Modeler .................................................................................................................. 30
3.3 SMILE Engine ..................................................................................................................... 31
3.4 Distribution information .................................................................................................. 32
3.5 GeNIe on a Mac ................................................................................................................. 34
3.6 Copyright notice ................................................................................................................ 35
3.7 Disclaimer ........................................................................................................................... 37
3.8 Acknowledgments ............................................................................................................. 37
4. Decision-theoretic modeling
39
4.1 Decision analysis ................................................................................................................ 40
4.2 Discrete and continuous variables .................................................................................. 40
4.3 Probability ......................................................................................................................... 41
4.4 Utility .................................................................................................................................. 42
4.5 Bayesian networks ............................................................................................................ 43
4.6 Influence diagrams ............................................................................................................ 53
4.7 Bayesian updating ............................................................................................................. 55
4.8 Solving decision models ................................................................................................... 56
4.9 Changes in structure ......................................................................................................... 57
4.10 Decision support systems ................................................................................................. 57
4.11 Computational complexity ............................................................................................... 60
5. Building blocks of GeNIe
63
5.1 Introduction ...................................................................................................................... 64
5.2 GeNIe workspace ............................................................................................................... 65
Introduction ................................................................................................................. 655.2.1
The menu bar .............................................................................................................. 675.2.2
Graph view .................................................................................................................. 685.2.3
Tree view ..................................................................................................................... 895.2.4
Status bar .................................................................................................................... 925.2.5
Case manager ............................................................................................................. 945.2.6
Output window ............................................................................................................ 995.2.7
4
GeNIe Modeler
Version 2.3.1, Built on 12/10/2018
Table of Contents
Help menu ................................................................................................................. 1005.2.8
5.3 Components of GeNIe models ........................................................................................ 101
Node types ................................................................................................................ 1015.3.1
Canonical models ...................................................................................................... 1045.3.2
Multi-attribute utility nodes ...................................................................................... 1205.3.3
Submodels ................................................................................................................. 1255.3.4
Arcs ............................................................................................................................ 1355.3.5
Node status icons ...................................................................................................... 1395.3.6
Text boxes ................................................................................................................. 1425.3.7
Annotations ............................................................................................................... 1435.3.8
5.4 Model and component properties ................................................................................ 146
Network properties .................................................................................................... 1465.4.1
Submodel properties ................................................................................................. 1555.4.2
Tools menu and Standard toolbar ............................................................................. 1585.4.3
Node properties ......................................................................................................... 1605.4.4
5.5 Visual appearance, layout, and navigation .................................................................. 195
Introduction ............................................................................................................... 1955.5.1
Viewing nodes in the Graph View ............................................................................. 1955.5.2
Zooming and full screen mode .................................................................................. 1985.5.3
Format toolbar and Layout menu .............................................................................. 1995.5.4
Graph layout functions .............................................................................................. 2045.5.5
Selection of model elements ..................................................................................... 2065.5.6
Model navigation tools ............................................................................................. 2085.5.7
5.6 Saving and loading models in GeNIe ............................................................................. 210
Introduction ............................................................................................................... 2105.6.1
File menu ................................................................................................................... 2155.6.2
XDSL file format ......................................................................................................... 2195.6.3
DSL file format ........................................................................................................... 2195.6.4
Ergo file format ......................................................................................................... 2205.6.5
Netica file format ...................................................................................................... 2215.6.6
BN interchange format .............................................................................................. 2225.6.7
Hugin file format ....................................................................................................... 2225.6.8
KI file format .............................................................................................................. 2225.6.9
5.7 Inference algorithms ....................................................................................................... 222
Introduction ............................................................................................................... 2225.7.1
Immediate and lazy evaluation ................................................................................. 2255.7.2
Relevance reasoning ................................................................................................. 2265.7.3
Node menu ................................................................................................................ 2305.7.4
Network menu ........................................................................................................... 2325.7.5
Bayesian networks algorithms .................................................................................. 2345.7.6
5
GeNIe Modeler
Version 2.3.1, Built on 12/10/2018
Table of Contents
Exact algorithms ......................................................................................................................................... 2345.7.6.1
Clustering algorithm ............................................................................................................................ 234
5.7.6.1.1
Relevance-based decomposition ....................................................................................................... 236
5.7.6.1.2
Polytree algorithm ................................................................................................................................ 236
5.7.6.1.3
Stochastic sampling algorithms .............................................................................................................. 2375.7.6.2
Probabilistic Logic Sampling ............................................................................................................. 237
5.7.6.2.1
Likelihood Sampling ............................................................................................................................. 237
5.7.6.2.2
Backward Sampling .............................................................................................................................. 237
5.7.6.2.3
AIS algorithm ......................................................................................................................................... 237
5.7.6.2.4
EPIS Sampling ........................................................................................................................................ 238
5.7.6.2.5
Special algorithms ..................................................................................................................................... 2395.7.6.3
Probability of evidence ....................................................................................................................... 239
5.7.6.3.1
Annealed MAP ....................................................................................................................................... 243
5.7.6.3.2
Influence diagrams algorithms ................................................................................. 2505.7.7
Policy evaluation ........................................................................................................................................ 2505.7.7.1
Find Best Policy ........................................................................................................................................... 2515.7.7.2
Algorithms for continuous and hybrid models .......................................................... 2525.7.8
Introduction ................................................................................................................................................. 2525.7.8.1
Autodiscretization ...................................................................................................................................... 2535.7.8.2
Hybrid Forward Sampling ......................................................................................................................... 2565.7.8.3
5.8 Obfuscation ..................................................................................................................... 257
5.9 Program options ............................................................................................................. 263
5.10 Keyboard shortcuts ......................................................................................................... 269
6. Using GeNIe
273
6.1 Introduction .................................................................................................................... 274
6.2 Bayesian networks .......................................................................................................... 274
Building a Bayesian network ..................................................................................... 2746.2.1
Useful structural transformations ............................................................................. 2746.2.2
Entering and retracting evidence .............................................................................. 2806.2.3
Virtual evidence ........................................................................................................ 2856.2.4
Viewing results .......................................................................................................... 2886.2.5
Strength of influences ............................................................................................... 2956.2.6
Controlling values ..................................................................................................... 3026.2.7
Sensitivity analysis in Bayesian networks ................................................................ 3056.2.8
6.3 Influence diagrams .......................................................................................................... 311
Building an influence diagram .................................................................................. 3116.3.1
Viewing results .......................................................................................................... 3196.3.2
Sensitivity analysis in influence diagrams ................................................................ 3206.3.3
Value of information ................................................................................................. 3256.3.4
6.4 Support for diagnosis ..................................................................................................... 332
Introduction ............................................................................................................... 3326.4.1
剩余569页未读,继续阅读
陈Lyn
- 粉丝: 0
- 资源: 1
上传资源 快速赚钱
- 我的内容管理 收起
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
会员权益专享
最新资源
- 数据结构1800题含完整答案详解.doc
- 医疗企业薪酬系统设计与管理方案.pptx
- 界面与表面技术界面理论与表面技术要点PPT学习教案.pptx
- Java集合排序及java集合类详解(Collection、List、Map、Set)讲解.pdf
- 网页浏览器的开发 (2).pdf
- 路由器原理与设计讲稿6-交换网络.pptx
- 火电厂锅炉过热汽温控制系统设计.doc
- 企业识别CIS系统手册[收集].pdf
- 物业管理基础知识.pptx
- 第4章财务预测.pptx
- 《集成电路工艺设计及器件特性分析》——实验教学计算机仿真系.pptx
- 局域网内共享文件提示没有访问权限的问题借鉴.pdf
- 第5章网络营销策略.pptx
- 固井质量测井原理PPT教案.pptx
- 毕业实习总结6篇.doc
- UGNX建模基础篇草图模块PPT学习教案.pptx
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
评论0