1972 search results - page 173 / 395 » Hidden semi-Markov models |
178
click to vote
NIPS
2003
15 years 8 months ago
2003
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
176
click to vote
CSL
2002
Springer
15 years 7 months ago
2002
Springer
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
200
click to vote
NN
1997
Springer
15 years 11 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
159
click to vote
IJFCS
2008
15 years 7 months ago
2008
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
212
click to vote
NN
2000
Springer
15 years 7 months ago
2000
Springer
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...