96 search results - page 4 / 20 » Hidden Markov Support Vector Machines |
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
COLING
2008
14 years 2 days ago
2008
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
ECML
2005
Springer
14 years 4 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
AAAI
2008
14 years 29 days ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...