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

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Date: 2015-03-15 16:36:56 Bayesian statistics Econometrics Bayesian inference Maximum likelihood Loss function Likelihood function Marginal likelihood Normal distribution Bayesian information criterion Statistics Estimation theory Statistical theory		6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivation Add to Reading List Source URL: ocw.mit.edu Download Document from Source Website File Size: 191,78 KB Share Document on Facebook

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