Supplementary Description: CS B553: Probabilistic approaches to Artificial Intelligence
(This course is officially known as Neural and Genetic Approaches to Artificial Intelligence, but that is not an accurate description of the course content this semester, Spring 2013.)
Supplementary Description: This course will debut a new B553 syllabus intended as a standardized 2nd year graduate AI course: Algorithms for Optimization and Learning.
Prerequisites: B551 or equivalent, calculus, linear algebra
Topics: Application and implementation of optimality principles to design, decision making, and inference. Learning and probabilistic inference in graphical models, expectation maximization, and temporal sequence processing.
