A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data: Supplementary Material Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, Univers - Labeled data - Document - PDFSEARCH.IO

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	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data: Supplementary Material Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, Univers Add to Reading List Document Date: 2014-02-24 20:30:41 Open Document File Size: 148,72 KB Share Result on Facebook Company John Wiley & Sons / / / Facility University of California / / Organization Lawrence K. Saul Department of Computer Science and Engineering / University of California / San Diego / / Person Matthew Der / Lawrence K. Saul / / Technology EM algorithm / simulation / / SocialTag Data analysis Probability theory Expectation–maximization algorithm Variance Statistics Estimation theory Central limit theorem

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data: Supplementary Material Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, UniversAdd to Reading List