149 search results - page 2 / 30 » Maximum Likelihood Learning of Conditional MTE Distributions |
DAGM
2008
Springer
13 years 6 months ago
2008
Springer
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
JMLR
2012
11 years 7 months ago
2012
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
SIBGRAPI
2005
IEEE
13 years 10 months ago
2005
IEEE
The design of W-operators from a set of input/output examples for large windows is a hard problem. From the statistical standpoint, it is hard because of the large number of examp...
DAGM
2011
Springer
12 years 4 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
INTERSPEECH
2010
12 years 11 months ago
2010
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...