154 search results - page 28 / 31 » Bayesian network structure learning using cooperative coevol... |
BIBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
BMCBI
2010
13 years 7 months ago
2010
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
ICCV
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper presents a control structure for general purpose image understanding that addresses both the high level of uncertainty in local hypotheses and the computational complex...
PAMI
2011
13 years 2 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...