474 search results - page 68 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
171
Voted
JCB
2008
15 years 3 months ago
2008
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
149
Voted
UAI
2001
15 years 5 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
124
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NIPS
2004
15 years 5 months ago
2004
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
198
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
206
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...