Prerequisite: CS 580, CS 681, or permission of instructor.

Description:Study principles, research directions, and methods for machine learning and inference. Topics include basic learning strategies and underlying inference types (deduction, induction, abduction, and analogy), synthetic and analytic learning methods, conceptual clustering, discovery systems, comparison of symbolic neural net and genetic algorithm approaches, multistrategy learning, and applications.

For a sample syllabus click here.

Back to other courses.