27 search results - page 1 / 6 » Exponential Priors for Maximum Entropy Models |
NAACL
2004
13 years 6 months ago
2004
Maximum entropy models are a common modeling technique, but prone to overfitting. We show that using an exponential distribution as a prior leads to bounded absolute discounting b...
ICIP
2010
IEEE
13 years 1 months ago
2010
IEEE
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
UAI
2004
13 years 6 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
IJCNLP
2004
Springer
13 years 10 months ago
2004
Springer
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...