98 search results - page 13 / 20 » Propagation Algorithms for Variational Bayesian Learning |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
ACCV
2006
Springer
13 years 11 months ago
2006
Springer
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
NIPS
2008
13 years 9 months ago
2008
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
JMLR
2008
13 years 7 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
AAAI
1998
13 years 9 months ago
1998
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...