Advanced structured prediction
Saved in:
| Other Authors | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cambridge, MA :
The MIT Press,
[2014]
|
| Series | Neural information processing series.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780262322959 9780262028370 |
| Physical Description | 1 online zdroj (ix, 415 pages) : illustrations. |
Table of Contents:
- Introduction to structured prediction / S. Nowozin, P.V. Gehler, J. Jancsary, and C.H. Lampert
- The power of LP relaxation for MAP inference / S. Živný, T. Werner, and D. Průša
- AD³, a fast decoder for structured prediction / A. Martins
- Generalized sequential tree-reweighted message passing / T. Schoenemann and V. Kolmogorov
- Smoother coordinate descent for MAP inference / O. Meshi, T. Jaakkola, and A. Globerson
- Getting feasible variable estimates from infeasible ones / B. Savchynskyy and S. Schmidt
- Perturb-and-MAP random fields / G. Papandreou and A. Yuille
- Herding for structure prediction / Y. Chen, A.E. Gelfand, and M. Welling.
- Training structure predictors through iterated logistic regression / J. Domke
- PAC-Bayesian risk bounds and learning algorithms for the regression approach to structured output prediction / S. Giguère, F. Laviolette, M. Marchand, and A. Rolland
- Optimizing the measure of performance / K. Keshet
- Structured learning from cheap data / X. Lou, M. Kloft, G. Rätsch, and F.A. Hamprecht
- Dynamic structure model selection / D. Weiss and B. Taskar
- Structured prediction from event detection / M. Hoai and F. de la Terre
- Structured prediction for object boundary detection in images / S. Todorovic
- Genome annotation with structure output learning / J. Behr, G. Schweikert, and G. Rätsch.