Marginal Structured SVM with Hidden Variables Wei Ping WPING ICS UCI EDU Qiang Liu QLIU ICS UCI EDU Alexander Ihler IHLER ICS UCI EDU Department of Computer Science University of California Irvine A

MSSVM properly accounts for the uncertainty of hidden variables and can sig ni64257cantly outperform the previously proposed la tent structured SVM LSSVM Yu Joachims 2009 and other stateofart methods especially when that uncertainty is large Our m

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