39 search results - page 1 / 8 » A Faster Iterative Scaling Algorithm for Conditional Exponen... |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
JMLR
2008
13 years 4 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...