Decision Theory Machine Learning
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Choosing an optimal decision rule under a bayesian model.
Mausam (university of washington) discusses the basic concepts for decision theory including expected monetary value, regret, and value p. It took place at hci / university of heidelberg during summer term 2012. Get this presentation and more details here.
Http//kindsonthegeniusblogspothu/2017/12/basicsofdecisiontheoryhtml the lesson covers following. Machine learning complete tutorial/lectures/course from iit (nptel) @ https//googl/aurrxm. Comparison of decision theory terminology and notation in three different contexts.
Playlist these machine learning videos is avai. A simple example to motivate decision theory, along with definitions of the 01 loss and square loss. Informal discussion of bayes rules, generalized and the complete class theorems.
The pattern recognition class 2012 by prof.
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