61 search results - page 3 / 13 » A Markov Language Learning Model for Finite Parameter Spaces |
AIMSA
2006
Springer
13 years 9 months ago
2006
Springer
Although speech and language processing techniques achieved a relative maturity during the last decade, designing a spoken dialogue system is still a tailoring task because of the ...
NIPS
2001
13 years 6 months ago
2001
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...