CIS 732 - Machine Learning and Pattern Recognition

Theory and methodology of inductive learning, including decision trees, artificial neural networks, probabilistic and instance-based learning, and inductive logic programming; unsupervised and reinforcement learning, bagging and boosting; genetic algorithms and genetic programming; and applications to data mining.

Credits: (3)

Requisites:
Pr.: CIS 501 or CIS 575.

When Offered:
Fall