![M-estimators / Regression analysis / Econometrics / Maximum likelihood / Loss function / Likelihood function / Logistic function / Logistic regression / Regularization / Statistics / Estimation theory / Statistical theory M-estimators / Regression analysis / Econometrics / Maximum likelihood / Loss function / Likelihood function / Logistic function / Logistic regression / Regularization / Statistics / Estimation theory / Statistical theory](https://www.pdfsearch.io/img/3e0db38fe324d95f84c68415f16b4443.jpg) Date: 2015-03-15 16:36:56M-estimators Regression analysis Econometrics Maximum likelihood Loss function Likelihood function Logistic function Logistic regression Regularization Statistics Estimation theory Statistical theory | | 6.867 Machine learning, lecture 4 (Jaakkola) 1 The Support Vector Machine and regularization We proposed a simple relaxed optimization problem for finding the maximum margin sepAdd to Reading ListSource URL: ocw.mit.eduDownload Document from Source Website File Size: 166,27 KBShare Document on Facebook
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