Spring 2007 Syllabus
B652: Computer Models of Symbolic Learning

David Leake

Topics

• Course overview and opening examples
• Inductive concept learning
• Inductive bias and the description problem
• Decision tree learning
• Analytical learning
  
• Instance-based learning
• Case-based reasoning and learning
• Ensemble learning
• Student paper presentations
• Special topics as time permits
• Project presentations
• What's wrong with machine learning?
• Overview, wrap-up, and final discussion

Important dates

• January 17: Presentation/discussant topics chosen
• February 14: Final selection of project topics
• March 26: Project progress report
• April 23: Project writeups and code due