153 search results - page 16 / 31 » Learning a Continuous Hidden Variable Model for Binary Data |
UAI
1998
13 years 9 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
JMLR
2008
13 years 7 months ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
IJON
2011
13 years 2 months ago
2011
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
ECAI
2010
Springer
13 years 5 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...