Corpus ID: 7041

\(\propto\)SVM for Learning with Label Proportions

@article{Yu2013proptoSVMFL,
  title={\(\propto\)SVM for Learning with Label Proportions},
  author={F. Yu and Dong Liu and S. Kumar and T. Jebara and S. Chang},
  journal={ArXiv},
  year={2013},
  volume={abs/1306.0886}
}
  • F. Yu, Dong Liu, +2 authors S. Chang
  • Published 2013
  • Computer Science, Mathematics
  • ArXiv
  • We study the problem of learning with label proportions in which the training data is provided in groups and only the proportion of each class in each group is known. We propose a new method called proportion-SVM, or $\propto$SVM, which explicitly models the latent unknown instance labels together with the known group label proportions in a large-margin framework. Unlike the existing works, our approach avoids making restrictive assumptions about the data. The $\propto$SVM model leads to a non… CONTINUE READING

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