GeNIe Documentation

From DSL

Table of Contents

1. Introduction
   1. GeNIe
   2. Guide to GeNIe On-Line Help
   3. What's new in GeNIe 2
   4. Upgrading to GeNIe 1 to GeNIe 2
   5. SMILE
   6. Distribution information
   7. Copyright notice
   8. Disclaimer
   9. Acknowledgements
2. Decision-Theoritic Modelling
   1. Decision analysis
   2. Discrete and continuous variables
   3. Probability
   4. Utility
   5. Bayesian networks
   6. Influence diagrams
   7. Bayesian updating
   8. Solving decision models
   9. Changes in structure
   10. Decision support systems
3. GeNIe Tutorials
   1. How to use the GeNIe Tutorials
   2. Tutorial 1 - Starting and exiting GeNIe
   3. Tutorial 2 - The GeNIe interface
   4. Tutorial 3 - Building a Bayesian network
   5. Tutorial 4 - Creating influence diagrams
   6. Tutorial 5 - Loading and saving models
   7. Tutorial 6 - Working in the Graph View
   8. Tutorial 7 - Entering and retracting evidence
   9. Tutorial 8 - Evaluating a model
   10. Tutorial 9 - Viewing results
   11. Tutorial 10 - Using control values
   12. Tutorial 11 - Value of information
   13. Tutorial 12 - Sensitivity analysis
   14. Tutorial 13 - Accessing data
   15. Tutorial 14 - Cleaning data
   16. Tutorial 15 - Learning structure
   17. Tutorial 16 - Parameters
   18. GeNIe Tutorials: Tutorial 17 - Dynamic Bayesian Networks
4. Elements of GeNIe
   1. GeNIe Workspace
      1. Introduction
      2. Graph View
      3. Tree View
      4. Status Bar
      5. Case Manager
      6. Output Window
   2. Elements of GeNIe Diagrams
      1. Node types
      2. Canonical nodes
      3. Multiple utility nodes
      4. Arcs
      5. Node status icons
      6. Submodel
      7. Text boxes
      8. Annotations
   3. File formats suported in GeNIe
      1. Introduction
      2. XDSL File Format
      3. DSL File Format
      4. Ergo File Format
      5. Netica File Format
      6. BN interchange Format
      7. Hugin File Format
      8. KI File Format
   4. Inference Algorithms
      1. Introduction
      2. Relevance reasoning
      3. Bayesian Networks Algorithms
         1. Exact Algorithms
            1. Clustering algorithm
            2. Polytree algorithm
         2. Stochastic Sampling Algorithms
            1. Probabilistic Logic Sampling
            2. Likelihood Sampling
            3. Self Importance Sampling
            4. Heuristic Importance Sampling
            5. Backward Sampling
            6. AIS Sampling
            7. EPIS Sampling
      4. Influence Diagrams Algorithms
         1. Policy evaluation
         2. Finding the best decision
   5. Support for Diagnosis
      1. Introduction
      2. Enabling Diagnosis
      3. Spreadsheet View
      4. Diagnostic window
      5. Diagnostic case management
      6. Cost of Observation
   6. Dynamic Bayesian Networks
      1. Introduction
      2. Creating DBN
      3. Performing Inference
5. GeNIe Reference Manual
   1. Introduction
   2. Property Sheets
      1. Network Property Sheet
      2. Submodel Property Sheet
      3. Node Property Sheet
   3. Menus
      1. The Menu Bar
      2. File menu
      3. Edit menu
      4. View menu
      5. Tools menu
      6. Network menu
      7. Node menu
      8. Diagnosis menu
      9. Layout menu
      10. Window menu
      11. Help menu
      12. Control menu
      13. Data menu
   4. Popup Menus
      1. Network Popup Menu
      2. Submodel Popup Menu
      3. Node Popup Menu
      4. Spreadsheet Popup Menu
   5. Toolbars
      1. Standard toolbar
      2. Format toolbar
      3. Diagnosis toolbar
      4. Influence toolbar
   6. Dialogs
      1. Annealed MAP
      2. Generate Data File
      3. Obfuscate Network
   7. Keyboard Shortcuts
6. Resources
   1. Books
   2. Research papers
   3. Conferences
   4. Software
   5. World Wide Web
   6. Frequently Asked Questions
   7. References
7. Decision System Laboratory
   1. Decision Systems Laboratory
   2. Who we are
   3. Our work
   4. How to contact us