223 search results - page 10 / 45 » Domain Adaptation of Maximum Entropy Language Models |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
NIPS
2004
13 years 9 months ago
2004
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...