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1. SMILE.NET Learning: BkKnowledge‏‎ (2 revisions)
2. Dynamic Bayesian Networks: Introduction‏‎ (2 revisions)
3. Preface: QGeNIe Introduction‏‎ (2 revisions)
4. SMILE: Probabilistic Inference in Bayesian Networks‏‎ (2 revisions)
5. Elements of GeNIe Diagrams: Text boxes‏‎ (2 revisions)
6. Tutorial 4: Learning Naive Bayes‏‎ (2 revisions)
7. Menu: Node Pop menu‏‎ (2 revisions)
8. Resources: World Wide Web‏‎ (2 revisions)
9. Exact Algorithms: Clustering algorithm‏‎ (2 revisions)
10. Support for Diagnosis: Introduction‏‎ (2 revisions)
11. GeNIe Tutorials: Tutorial 9 - Viewing results‏‎ (2 revisions)
12. Brief Introduction to Some Simple Classes: DSL sysCoordinates‏‎ (2 revisions)
13. Dynamic Bayesian Networks: Performing Inference‏‎ (2 revisions)
14. SMILearn Tutorial 1: Creating a Simple Data Set‏‎ (2 revisions)
15. Stochastic Sampling Algorithms: Backward Sampling‏‎ (2 revisions)
16. Java Tutorial 3: Building an Influence Diagram‏‎ (2 revisions)
17. C Sharp Tutorial Code 2: Performing Inference with a Bayesian Network‏‎ (2 revisions)
18. Elements of GeNIe: File formats suported in GeNIe‏‎ (2 revisions)
19. VB.NET Tutorial 2: Performing Inference with a Bayesian Network‏‎ (2 revisions)
20. Reference Manual: DSL header‏‎ (2 revisions)
21. Introduction: Introduction to the GeNIe Workspace‏‎ (2 revisions)
22. Java Tutorial 4: Performing Inference in Influence Diagrams‏‎ (2 revisions)
23. QGeNIe Reference Manual: Introduction to QGeNIe Reference Manual‏‎ (2 revisions)
24. File formats suported in GeNIe: Bayesian Networks Interchange Format‏‎ (2 revisions)
25. Brief Introduction to Some Simple Classes: Finding the best policy‏‎ (2 revisions)
26. GeNIe Reference Manual: Introduction to GeNIe Reference Manual‏‎ (2 revisions)
27. VB.NET Tutorial 3: Building an Influence Diagram‏‎ (2 revisions)
28. Java Tutorial 5: Computing Value of Information‏‎ (2 revisions)
29. SMILE.NET: DiagResults‏‎ (2 revisions)
30. GeNIe Workspace: Introduction to the GeNIe Workspace‏‎ (2 revisions)
31. Introduction: Copyright notice‏‎ (2 revisions)
32. VB.NET Tutorial 4: Performing Inference in Influence Diagrams‏‎ (2 revisions)
33. Menu: File menu command‏‎ (2 revisions)
34. Application Programmers Manual: Error Handling‏‎ (2 revisions)
35. Decision-Theoritic Modelling: Discrete and continuous variables‏‎ (2 revisions)
36. Stochastic Sampling Algorithms: Likelihood Sampling‏‎ (2 revisions)
37. Tutorials: Tutorial 1: Creating a Bayesian Network‏‎ (2 revisions)
38. Java Tutorial Code 1: Creating a Bayesian Network‏‎ (2 revisions)
39. Application Programmers Manual: Variables and Outcomes‏‎ (2 revisions)
40. 6. Results‏‎ (2 revisions)
41. VB.NET Tutorial 5: Computing Value of Information‏‎ (2 revisions)
42. Decision-Theoritic Modelling: Influence diagrams‏‎ (2 revisions)
43. SMILE Diagnostic: DIAG network‏‎ (2 revisions)
44. Stochastic Sampling Algorithms: Probabilistic Logic Sampling‏‎ (2 revisions)
45. Introduction: SMILE‏‎ (2 revisions)
46. Java Tutorial Code 2: Performing Inference with a Bayesian Network‏‎ (2 revisions)
47. Dialogs: Annealed MAP‏‎ (2 revisions)
48. Tutorials Code: Source Code for Tutorial 7‏‎ (2 revisions)
49. Popup Menus: Node Popup Menu‏‎ (2 revisions)
50. 7. Others‏‎ (2 revisions)

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