Machine Learning Programs and Laboratory Experiments in Prolog

Zdravko Markov
Professor of Computer Science, Central Connecticut State University

  1. Winston's ARCH program:, Data:
  2. Languages for learning
  3. Version space learning
  4. Induction of Decision Trees
  5. Covering strategies
  6. Searching the generalization/specialization graph.
  7. Relational Learning
  8. Evaluating hypotheses
  9. Bayesian learning
  10. Bayesian Belief Networks
  11. Instance-based learning
  12. Analytical (Explanation-based) learning
  13. Unsupervised Learning