352 search results - page 11 / 71 » Inference and Learning in Networks of Queues |
JMLR
2010
13 years 2 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
AAAI
2010
13 years 9 months ago
2010
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We present an approach for inferring the topology of a camera network by measuring statistical dependence between observations in different cameras. Two cameras are considered con...
JMLR
2011
13 years 2 months ago
2011
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...