实例介绍
【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 This page is intentionally left blank. Remove this text from the manua l te mpl a te if you want it completely blank 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】
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 This page is intentionally left blank. Remove this text from the manua l te mpl a te if you want it completely blank 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】
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