Combining SVM with graphical models for supervised classification: an introduction to Max-Margin Markov Networks Simon Lacoste-Julien† † - Lacoste - Document - PDFSEARCH.IO

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	Combining SVM with graphical models for supervised classification: an introduction to Max-Margin Markov Networks Simon Lacoste-Julien† † Add to Reading List Document Date: 2011-12-02 09:14:33 Open Document File Size: 345,95 KB Share Result on Facebook Company Max-Margin Markov Networks / / Country United States / / Currency cent / / Facility EECS University of California / / IndustryTerm computing / learning algorithm / / Organization EECS University / University of California / Berkeley / / Person Simon Lacoste-Julien / Ai / Thomas Dietterich / / Position General / graphical model for the FAQ problem / / ProgrammingLanguage ML / Occam / / ProvinceOrState California / / Technology optical character recognition / machine learning / Viterbi algorithm / / URL http / SocialTag Support vector machine Linear classifier Supervised learning Hidden Markov model Generative model Conditional random field Statistical classification Maximum-entropy Markov model Graphical model Statistics

Combining SVM with graphical models for supervised classification: an introduction to Max-Margin Markov Networks Simon Lacoste-Julien† †Add to Reading List