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Smoothing Multivariate Performance Measures

Zhang, Xinhua; Saha, Ankan; Vishwanathan, S.V.N.


Optimizing multivariate performance measure is an important task in Machine Learning. Joachims (2005) introduced a Support Vector Method whose underlying optimization problem is commonly solved by cutting plane methods (CPMs) such as SVM-Perf and BMRM. It can be shown that CPMs converge to an e accurate solution iterations, where l is the trade-off parameter between the regularizer and the loss function. Motivated by the impressive convergence rate of CPM on a number of practical problems, it...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Journal of Machine Learning Research


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