270 search results - page 26 / 54 » Hierarchical Gaussian process latent variable models |
174
Voted
CSDA
2011
14 years 11 months ago
2011
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
204
click to vote
ICIP
2001
IEEE
16 years 5 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
108
click to vote
UAI
2004
15 years 5 months ago
2004
The task of matching co-referent records is known among other names as record linkage. For large record-linkage problems, often there is little or no labeled data available, but u...
158
click to vote
PRICAI
2000
Springer
15 years 7 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
175
click to vote
BMCBI
2011
14 years 7 months ago
2011
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...