374 search results - page 4 / 75 » Generalized Gaussian distributions for sequential data class... |
JAIR
1998
14 years 9 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
PODC
2010
ACM
14 years 11 months ago
2010
ACM
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
104
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...