CS B652 Computer Models of Symbolic Learning

Syllabus

· Course overview and opening examples

· Key methods and issues

· Inductive concept learning

· Inductive bias and the description problem

· Decision tree learning

· Instance-based learning

· Case-based reasoning and learning

· Analytical learning

· Goal-driven learning

· Knowledge acquisition

· Special topics as time permits

· Student paper presentations

· Class miniconference (project presentations)

· Overview, wrap-up, and final discussion