6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivation - Structural risk minimization - Document - PDFSEARCH.IO

First Page	Meta Content
	6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivation Add to Reading List Document Date: 2015-03-15 16:36:56 Open Document File Size: 191,78 KB Share Result on Facebook Facility Massachusetts Institute of Technology / / Organization MIT / Massachusetts Institute of Technology / / Person Fi / / Position representative / model / / ProvinceOrState Massachusetts / / PublishedMedium Machine Learning / / Technology Machine learning / / URL http / SocialTag Bayesian statistics Econometrics Bayesian inference Maximum likelihood Loss function Likelihood function Marginal likelihood Normal distribution Bayesian information criterion Statistics

6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivationAdd to Reading List