1972 search results - page 172 / 395 » Hidden semi-Markov models |
206
click to vote
NIPS
1998
15 years 8 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
173
click to vote
ICASSP
2008
IEEE
16 years 1 months ago
2008
IEEE
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
202
click to vote
NIPS
2008
15 years 8 months ago
2008
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
217
click to vote
ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
215
click to vote
EMNLP
2004
15 years 8 months ago
2004
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...