Training Structured Predictors Through Iterated Logistic Regression

This chapter contains sections titled: 9.1 Introduction, 9.2 Linear vs. Nonlinear Learning, 9.3 Overview, 9.4 Loss Functions, 9.5 Message-Passing Inference, 9.6 Joint Learning and Inference, 9.7 Logistic Regression, 9.8 Reducing Structured Learning to Logistic Regression, 9.9 Function Classes, 9.10 Example, 9.11 Conclusions, 9.12 Appendix: Proofs, 9.13 References