Parameter Learning for Loopy Markov Random Fields with Structural Support Vector Machines

Abstract

Discriminative learners for functions with structured outputs have been successfully applied to sequence prediction, parsing, sequence alignment, and other problems where exact inference is tractable. However, these learners face challenges when inference procedures must use approximations, e.g., for multi-label classification, clustering, image… (More)

Topics

4 Figures and Tables

Statistics

0102030201520162017
Citations per Year

Citation Velocity: 6

Averaging 6 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{Finley2007ParameterLF, title={Parameter Learning for Loopy Markov Random Fields with Structural Support Vector Machines}, author={Thomas Finley and Thorsten Joachims}, year={2007} }