889 search results - page 96 / 178 » Probabilistic Neural Network Models for Sequential Data |
ICML
1997
IEEE
14 years 8 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
IEEEARES
2006
IEEE
14 years 2 months ago
2006
IEEE
In many reliability studies based on data, reliability engineers face incompleteness and incoherency problems in the data. Probabilistic tools badly handle these kinds of problems...
BMCBI
2010
13 years 8 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...
WSC
2007
13 years 10 months ago
2007
In this paper, air combat simulation data is reconstructed into a dynamic Bayesian network. It gives a compact probabilistic model that describes the progress of air combat and al...
RECOMB
2010
Springer
14 years 3 months ago
2010
Springer
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...