271 search results - page 36 / 55 » Hidden Markov Model Variants and their Application |
85
Voted
NN
1997
Springer
15 years 1 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...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
DAGM
2003
Springer
15 years 2 months ago
2003
Springer
In this paper we address the problem of building a good speech recognizer if there is only a small amount of training data available. The acoustic models can be improved by interpo...
SSIAI
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
QOSA
2010
Springer
15 years 1 months ago
2010
Springer
Critical properties of software systems, such as reliability, should be considered early in the development, when they can govern crucial architectural design decisions. A number o...