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Maximum likelihood ml hypothesis - PowerPoint PPT Presentation

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.

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Bayesian Learning

Bayesian Learning. Slides adapted from Nathalie Japkowicz and David Kauchak. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?. Bayesian Learning. Increasingly popular framework for learning

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Bayesian Learning

Bayesian Learning. Machine Learning Chapter 6 ??? : ? ? ?. Bayesian Reasoning. Basic assumption The quantities of interest are governed by probability distribution These probability + observed data ==> reasoning ==> optimal decision ?? , ??? ????? ??? ??? ????? ??

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Maximum likelihood ml hypothesis - PowerPoint PPT Presentation

Bayes Classification

Bayesian Learning

Bayesian Learning