Training structural SVMs when exact inference is intractable

  title={Training structural SVMs when exact inference is intractable},
  author={Thomas Finley and Thorsten Joachims},
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications require make exact training intractable. This leads to a need for approximate training methods. Unfortunately, knowledge about how to perform efficient and effective approximate training is limited. Focusing on structural SVMs, we provide and explore algorithms for two different classes of approximate training… CONTINUE READING
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