【实例简介】
详细的介绍了贝叶斯网络可视化软件GeNIe使用说明,适合初学者
Table of contents
3
1. Read me first
2. Hello gentel
13
3. Introduction
31
3.1
Guide to gem| e manua…32
3.2
GeN| e modeler…32
3.3
SMILE Engine
33
3.4
Distribution information
∴34
3.5
GeNie on a mac,,,…,,…,,,,,,,
t·自自·D自。看自自自。自自自
38
3.6
Copyright notice……,,…,,…,…,…,…,…,…,,…,,…,…,…,,…,……39
3.7
Disclaimer
3.8
Acknowledgments
41
4. Decision-theoretic mode ling
43
4.1
Decision analysis
44
4.2
Discrete and continuous variables
44
43
Probability .
45
4.4
Utility
46
4.5
Bayesian networks…,,……,,,…,……,…47
4.6
Influence diagrams……,,…,…,…,,…,…,…,…,…,…,……,…,………………57
4.7
Bayesian updating…….….….….….….….….….….….….….….….….….…,………………………59
4.8
Solving decision models .ooboe
t。鲁自音音B鲁自看。自看。·自。鲁香。鲁自自自看自自。自看自·D·香看鲁自。自。音自。自自。自鲁看。鲁自·。鲁。。自
60
49
Changes in structure.ooeteeteeeto o oeeaooeto eeeeeooo.., 61
4.10 Decision support systems
61
4.11 Computational complexity
64
5. Building blocks of GeNie
67
5.1
Introduction mmmmmmmmmmmmmmmmmmmmommmmmmommmmmm 68
5.2
GeNle workspaceoeeeeeeeee
5.2.1
Introduction
69
5.2.2
The menu bar
71
5.2.3
Graph view…..………72
5.2.4
TreeⅵeW∴….85
5.2.5
Status bar w.....w 88
5.2.6
Case manager………....……….….,…………90
5.2.7
Output window
95
GeNie modeler
Version 2.2.4, Built on 4/3/2018
Table of contents
4
5.2.8
Help menu..,,.,…,…,,…,,…,…,…,…,…,…………………96
5.3
Components of geN| le models,..,..,,.,,,,,…",……97
5.3.1
Node types
97
5.3.2
Canonical models
99
5.3.3
Multi-attribute utility nodes
..113
5.3.4
Submodels
118
5.3.5
A
rcs
128
5.3.6
Node status icons
129
5.3.7
Teⅹ t boxes
132
5.3.8
Annotations
133
54
Model and component properties……,,…,…,…,,…,,,,…136
5.4.1
Network properties.................
136
5.4.2
Submodel properties
146
5.4.3
Tools menu and standard toolbar
149
5.4.4
Node properties
151
5.5
Visual appearance, layout, and navigation…....,..,,………186
5.5.1
Introductⅰon∴
186
5.5.2
Viewing nodes in the graph view……,…,…,…
·自·
186
5.5.3
Zooming and full screen mode ............189
5.5.4
Format toolbar and layout menu…......…………,190
5.5.5
Graph layout functions...........……195
5.5.6
Selection of model elements wmwmwmwwoww 197
5.5.7
Model navigation tools
鲁自自自。日曲·自自。“日。自自自自。
199
5.6
Saving and loading models in geNie ..n.os..cns
5.6.1
Introduction
.201
5.6.2
File menu
206
5.6.3
XDSL file format
210
5.6.4
DSL file format
,210
5.6.5
Ergo file format…….….….….…….…..…..….……….…….……………………….211
.
Netica file format∴…212
5.6.7
BN interchange format………,…,…
213
5.68
Hugin file format……
213
5.6.9
KI file format
213
5,7 Inference agorithms….,....,,…,……213
5.7.1
Introduction
213
5.7.2
mediate and lazy evaluation
216
5.7.3
Relevance reasoning
217
5.7.4
Node menu
220
5.7.5
Network men
2
5.7.6
Bayesian networks algorithms
224
GeNie modeler
Version 2.2.4, Built on 4/3/2018
Table of contents
5
5.7.6.1
Exact algorithms
224
5.7.6.1.1
Clustering al gorithm
224
5.7.6.1.2
Relevance-based decomposition
226
5.7.6.1.3
Polytree algorith
226
5.7.6,2
Stochastic sampling algorithms
227
5.7.6.2.1
Probabilistic Logic Sampling
,227
5.7.6.2.2
Li keli hood sampling…........,,…
227
5.7.6.2.3
Self-| mportance Sampling….…
227
5.7.6.2.4
Backward sa mpling
227
5.7.6.2.5
AlS algorithm
228
5.7.6.2.6
EP| S Sampling…
228
5.7.63
Special al gorithm
229
5.7.6.3.1
Probability of evidence
∴229
5.7.6.3.2
∧nnea| ed map,
233
5.7.7
Influence diagrams algorithms
240
5.7.7.1
Policy evaluation
240
5.7.7.2
Find Best policy….,,
241
5.7.8
Algorithms for continuous and hybrid models.…………………,242
5.7.8.1
Introduction
242
5.78.2
Autodiscreti zation
243
5.78.3
Hybrid forward Sa mpling
246
5.8
obfuscation
247
5.9
Program options…
253
5.10 Keyboard shortcuts
259
6. Using GeNie
263
6.1
Introduction ms.
6.2
Bayesian networks….,.,.,,,…,,264
6.2.1
Building a Bayesian network….,…,,,…,…,…,…,…,………264
6.2.2
Useful structural transformations
264
6.2.3
Entering and retracting evidence
,270
6.2.4
Virtual evidence
.275
6.2.5
Viewing results
看自非。自非。自。自。自‖。自自着。自看
曹自。自
自。自自自。。自看自
277
6.2.6
Strength of influences............................. 284
6.2.7
Controlling values ....................................................................................287
6.2.8
Sensitivity analys is in bayesian networks ..
6.3
Influence diagrams
295
6.3.1
Building an influence diagram……………,…,,….,.,….….….,,….,,……,……….295
6.3.2
Viewing results……….…...,.,,,,…,,….,,,,…,……,304
6.3.3
Sensitivity analysis in influence diagrams…………….….……..305
6.3.4
Value of informatⅰon∴310
64
Support for diagnosis…,…,,……,,…,,……,………,…………317
GeNie modeler
Version 2.2.4, Built on 4/3/2018
Table of contents
6
6.4.1
Introduction
317
6.4.2
Diagnosis menu……,…,…,…,…,…,…,………,…,…………………318
6.4.3
Diagnosis toolbar
321
6.44
Enabling diagnostic extensions
322
6.4.5
Spreadsheet view
自。自自着自。自。自。自D
331
6.4.6
Testing window………,…,…,……,…,…,……,……,…,……,…,……………338
6.4.7
Diagnostic case management………,…,…,…,…,…,…,…,…,…,…,……………345
64.8
Cost of obs ervation .................................................................................................348
6.5
Learning…
353
6.5.1
Data format
353
6.5.2
Accessing data...............
354
6.5.3
Data menu
.366
6.5.4
Cleaning data
368
6.5.5
Knowledge editor
388
6.56
Pattern editor
391
6.5.7
Structural learning…,,,,…,,,,
394
6.5.7.1
ntroduction……
394
6.57.2
Bayesian Search
396
6.57.3
PC
398
6.5.7.4
Essential Graph Search..
404
6.5.7.5
Greedy Thick Thinning
407
6.57.6
Tree augment
ve Bayes
408
6.5.7.7
Augmented Naive Bayes……
,410
6.5.7.8
ai ve Bayes
413
6.58
Learning parameters
..415
6.5.9
Generating a data file
.422
6.5.10 Validation
.426
6.5
Dynamic Bayesian networks .......
448
6.6.1
Introduction∴…48
6.62
Creating DBN
448
6.6.3
Inference in dbns…455
6.6.4
Learning dbn parameters..,….,.….,.…..…,….,….…….465
6.7
Equation-based and hybrid models ..............................................................................471
6.7.1
Introductⅰon,-471
6.7.2
Constructing equation -based models
471
6.7.3
Writing equations in GeNe
477
6.73.1
Introduction
…477
6.7.3.2
Functions
481
6.73.2.1
Probabil
481
673.22
Arithmetic functio
6.73.2.3
Combina toric functions
..490
6.73.2.4
Trigonometric functions
490
GeNie modeler
Version 2.2.4, Built on 4/3/2018
Table of contents
7
673.2.5
Hyperbolic functions……
491
6.73.2.6
Logical/Conditional functions
491
6.73.3
perators…
493
6.7.4
Hybrid models…………...…..…...…..…....….....494
6.7.5
Inference in equation- based and hybrid models……………….497
6.7.6
Viewing results in equation-based models
音。。“。自。。音。着。。。。B音。。。。。非
505
7. Resources
515
7.1
Books
516
7.2
Research papers…,,......,,..,.,.,,,…,…,…516
7.3
Conferences
n517
74 Model repositories,,…,,,…,…,…518
7.5
Social media mmmmmmmmmmmmmmm 518
7.6
References….519
Index
527
GeNie modeler
Version 2.2.4, Built on 4/3/2018
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Read me first
Read me first
10
Read me first
Welcome to GeNIe manual, Version 2.2.4, Built on 4/3 /2018
This manual is available in ChM, pdf and html formats all available at
httpsupportbayesfusion.com/docs/
CHM version of geNIe manual is also distributed with GeNIe
An entrepreneur Martin Le blanc tweeted a few years ago a user interface is like a
joke. Ifyou have to explain it, it's not that good. While one might criticize this
analogy on several grounds, the Tweet stresses the idea that a user interface has to
be intuitive and transparent. This has been the leading thought over the many years
of the development of geNle's interface. We believe that this manual may turn out to
be superfluous for many users. Still, there are many ways in which people learn and
some of our users will find it useful. Some users may find it handy to use the search
functionality in case they encounter a problem. Others, familiar with the
methodology, may want to read through the section Using GeNIe, which describes
various geNIe modules. Yet others, may want to the treat this manual as a handbook
for decision-theoretic methods
If you are new to genie and would like to start with an informal, tutorial-like
introduction, please start with the Hello GeNIe!section. If you are an advanced
user,please browse through the Table of Contents or search for the topic of your
interest
GeNie modeler
Version 2.2.4, Built on 4/3/2018
【实例截图】
【核心代码】