44 search results - page 1 / 9 » Training Conditional Random Fields with Multivariate Evaluat... |
ACL
2006
13 years 6 months ago
2006
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
AAAI
2008
13 years 7 months ago
2008
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
NAACL
2003
13 years 6 months ago
2003
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling...
NIPS
2004
13 years 6 months ago
2004
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...