375 search results - page 33 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
101
Voted
ICASSP
2009
IEEE
15 years 8 months ago
2009
IEEE
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved re...
144
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NIPS
2004
15 years 3 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
135
Voted
ICIG
2009
IEEE
15 years 8 months ago
2009
IEEE
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
113
Voted
JMLR
2010
14 years 8 months ago
2010
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
103
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IPMI
2005
Springer
16 years 2 months ago
2005
Springer
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...