SMILearn

Table of Contents

1. Introduction
   1. Introduction
   2. SMILEARN
   3. Acknowledgements
2. Reference Manual
   1. Introduction
   2. DSL_dataElement (Obsolete)
   3. DSL_variableInfo
   4. DSL_dataset
   5. DSL_abstractDataSource (Obsolete)
   6. DSL_textParser (Obsolete)
   7. DSL_discretizer
   8. DSL_em
   9. DSL_naiveBayes
   10. DSL_greedyThickThinning
   11. DSL_pc
   12. DSL_tan
   13. DSL_bs
3. Tutorials
   1. Tutorial 1: Creating a Simple Data Set
   2. Tutorial 2: Parsing a Text File (Obsolete)
   3. Tutorial 3: Discretization
   4. Tutorial 4: Learning Naive Bayes
   5. Tutorial 5: Learning with the EM Algorithm (Static)
   6. Tutorial 6: Learning with the EM Algorithm (Dynamic 1)
   7. Tutorial 7: Learning with the EM Algorithm (Dynamic 2)
4. Appendices
   1. Tutorials Code
      1. Source Code for Tutorial 1
      2. Source Code for Tutorial 2 (Obsolete)
      3. Source Code for Tutorial 3
      4. Source Code for Tutorial 4
      5. Source Code for Tutorial 5
      6. Source Code for Tutorial 6
      7. Source Code for Tutorial 7