1292 search results - page 176 / 259 » Bayesian learning in negotiation |
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
MM
2005
ACM
14 years 1 months ago
2005
ACM
To better understand the content of multimedia, a lot of research efforts have been made on how to learn from multi-modal feature. In this paper, it is studied from a graph point ...
JMLR
2006
13 years 8 months ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
NIPS
2007
13 years 9 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
CVPR
2000
IEEE
14 years 10 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...