215 search results - page 1 / 43 » Polynomial Conditional Random Fields for Signal Processing |
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper shows how to improve Hidden Conditional Random Fields (HCRFs) for phone classification by applying various speaker adaptation techniques. These include Maximum A Poste...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Conditional Random Fields (CRFs) are a state-of-the-art approach to natural language processing tasks like grapheme-tophoneme (g2p) conversion which is used to produce pronunciati...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ...