'Bayes optimal' presentation slideshows

Bayesian Learning

1.91k views • 188 slides

Bayesian Learning

1.89k views • 188 slides

Machine Learning Chapter 6. Bayesian Learning

Machine Learning Chapter 6. Bayesian Learning. Tom M. Mitchell. Bayesian Learning. Bayes Theorem MAP, ML hypotheses MAP learners Minimum description length principle Bayes optimal classifier Naive Bayes learner Example: Learning over text data Bayesian belief networks

1.41k views • 49 slides

Bayes Classification

Bayes Classification. Uncertainty & Probability Baye's rule Choosing Hypotheses- Maximum a posteriori Maximum Likelihood - Baye's concept learning Maximum Likelihood of real valued function Bayes optimal Classifier Joint distributions Naive Bayes Classifier. Uncertainty.

804 views • 47 slides

Bayesian Learning

672 views • 30 slides

Tuesday, September 28, 1999 William H. Hsu Department of Computing and Information Sciences, KSU

Lecture 10. Bayesian Classifiers: MDL, BOC, and Gibbs. Tuesday, September 28, 1999 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~bhsu Readings: Sections 6.6-6.8, Mitchell Chapter 14, Russell and Norvig. Lecture Outline.

401 views • 24 slides

Announcements

276 views • 19 slides