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2025 Winter
Apr 22, 2025
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 890DZ - Implementing Probabilistic Expert Systems
This course examines the effects on computational efficiency in practice by implementing various techniques for constructing probability distributions in probabilistic expert systems. Topics include Bayesian networks, join tree propagation and direct computation techniques.
3.000 Credit hours
0.000 TO 3.000 Lecture hours
0.000 TO 3.000 Other hours

Levels: Graduate
Schedule Types: Lecture, Directed Reading, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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