468 search results - page 47 / 94 » A Hierarchical Latent Variable Model for Data Visualization |
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
CIVR
2006
Springer
14 years 16 days ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
SADM
2011
13 years 3 months ago
2011
Abstract: Visualizing data by graphing a response against certain factors, and conditioning on other factors, has arisen independently in many contexts. One is the interaction plot...
NIPS
2001
13 years 10 months ago
2001
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
WABI
2009
Springer
14 years 3 months ago
2009
Springer
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...