JSMILE and Smile.NET

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Table of Contents

  1. Introduction
    1. Introduction
    2. Introduction to jSMILE
    3. Introduction to jSMILE.NET
    4. Acknowledgements
  2. Reference Manual
    1. Introduction
    2. jSMILE
      1. DiagNetwork
        1. DiagNetwork
        2. DiagNetwork Methods
      2. DiagResults
      3. Network
        1. Network Inner Classes
        2. Network General Methods
        3. Network Visual Properties
        4. Network SubModels
        5. Network Diagnosis
        6. Network User Properties
        7. Network Documentation
      4. FaultInfo
      5. ObservationInfo
      6. ValueOfInfo
      7. SMILEException
    3. jSMILE Learning
      1. BkKnowledge
      2. Dataset
      3. EM
      4. BayesianSearch
      5. GreedyThickThinning
      6. TAN
      7. NaiveBayes
      8. PC
      9. TextParser
    4. SMILE.NET
      1. DiagNetwork
      2. DiagResults
      3. FaultInfo
      4. Network
      5. SmileException
      6. ObservationInfo
      7. ValueOfInfo
    5. SMILE.NET Learning
      1. BkKnowledge
      2. Dataset
      3. EM
      4. GreedyThickThinning
      5. NaiveBayes
      6. PC
  3. Tutorials
    1. Java
      1. Introduction
      2. Tutorial 1: Creating a Bayesian Network
      3. Tutorial 2: Performing Inference with a Bayesian Network
      4. Tutorial 3: Building an Influence Diagram
      5. Tutorial 4: Performing Inference in Influence Diagrams
      6. Tutorial 5: Computing Value of Information
    2. C#
      1. Tutorial 1: Creating a Bayesian Network
      2. Tutorial 2: Performing Inference with a Bayesian Network
      3. Tutorial 3: Building an Influence Diagram
      4. Tutorial 4: Performing Inference in Influence Diagrams
      5. Tutorial 5: Computing Value of Information
    3. VB.NET
      1. Tutorial 1: Creating a Bayesian Network
      2. Tutorial 2: Performing Inference with a Bayesian Network
      3. Tutorial 3: Building an Influence Diagram
      4. Tutorial 4: Performing Inference in Influence Diagrams
      5. Tutorial 5: Computing Value of Information
    4. R
      1. Introduction
      2. Tutorial 1: Creating a Bayesian Network
      3. Tutorial 2: Performing Inference with a Bayesian Network
      4. Tutorial 3: Building an Influence Diagram
      5. Tutorial 4: Performing Inference in Influence Diagrams
      6. Tutorial 5: Computing Value of Information
    5. Matlab
      1. Introduction
      2. Tutorial 1: Creating a Bayesian Network
      3. Tutorial 2: Performing Inference with a Bayesian Network
      4. Tutorial 3: Building an Influence Diagram
      5. Tutorial 4: Performing Inference in Influence Diagrams
      6. Tutorial 5: Computing Value of Information
    6. Python
      1. Introduction
      2. Tutorial 1: Creating a Bayesian Network
      3. Tutorial 2: Performing Inference with a Bayesian Network
      4. Tutorial 3: Building an Influence Diagram
      5. Tutorial 4: Performing Inference in Influence Diagrams
      6. Tutorial 5: Computing Value of Information
  4. Appendices
    1. Tutorials Code
      1. Java
        1. Tutorial 1: Creating a Bayesian Network
        2. Tutorial 2: Performing Inference with a Bayesian Network
        3. Tutorial 3: Building an Influence Diagram
        4. Tutorial 4: Performing Inference in Influence Diagrams
        5. Tutorial 5: Computing Value of Information
      2. C#
        1. Tutorial 1: Creating a Bayesian Network
        2. Tutorial 2: Performing Inference with a Bayesian Network
        3. Tutorial 3: Building an Influence Diagram
        4. Tutorial 4: Performing Inference in Influence Diagrams
        5. Tutorial 5: Computing Value of Information
      3. VB.NET
        1. Tutorial 1: Creating a Bayesian Network
        2. Tutorial 2: Performing Inference with a Bayesian Network
        3. Tutorial 3: Building an Influence Diagram
        4. Tutorial 4: Performing Inference in Influence Diagrams
        5. Tutorial 5: Computing Value of Information
      4. R
        1. Tutorial 1: Creating a Bayesian Network
        2. Tutorial 2: Performing Inference with a Bayesian Network
        3. Tutorial 3: Building an Influence Diagram
        4. Tutorial 4: Performing Inference in Influence Diagrams
        5. Tutorial 5: Computing Value of Information
      5. Matlab
        1. Tutorial 1: Creating a Bayesian Network
        2. Tutorial 2: Performing Inference with a Bayesian Network
        3. Tutorial 3: Building an Influence Diagram
        4. Tutorial 4: Performing Inference in Influence Diagrams
        5. Tutorial 5: Computing Value of Information
      6. Python
        1. Tutorial 1: Creating a Bayesian Network
        2. Tutorial 2: Performing Inference with a Bayesian Network
        3. Tutorial 3: Building an Influence Diagram
        4. Tutorial 4: Performing Inference in Influence Diagrams
        5. Tutorial 5: Computing Value of Information
    2. Extending jSMILE Library
    3. Extending SMILE.NET Library
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