Contents
Bayes Decision Theory
Bayes Decision Theory is concerned with the problem of classifying data. The core of Bayesian Decision Theory is Bayes rule, which is based on the principle that one should choose the most likely class given the observation. By following Bayes rule, one achieves the minimum possible probability of error.
Lecturers on Bayes Decision Theory
- ECE662 Spring 2010, Prof. Boutin Lecture 4
- ECE662 Spring 2010, Prof. Boutin Lecture 5
- ECE662 Spring 2008, Prof. Boutin Lecture 3 introducing Bayes decision rule
- ECE662 Spring 2008, Prof. Boutin Lecture 4 on Bayes Decision Rule
Lecture Notes on Bayes Decision Theory
- ECE662 Spring 2008, Prof. Boutin Lecture 3 introducing Bayes decision rule (student notes)
- ECE662 Spring 2008, Prof. Boutin Lecture 4 on Bayes Decision Rule (student notes)
Relevant Homework
Interesting Student Pages Related to Bayes Decision Theory
- Bayes rule under severe class imbalance
- Page with subtopics related to Bayes Decision Theory
- Some topics related to Bayes decision rule
- Is Bayes truly the best? Comparison with other approaches
