2868 search results - page 183 / 574 » Inference in Bayesian Networks |
154
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JMLR
2011
15 years 1 months ago
2011
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
180
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ICA
2004
Springer
2004
Springer
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
15 years 11 months ago
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
174
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ISBI
2002
IEEE
15 years 11 months ago
2002
IEEE
Determining the relationship between structure (i.e. morphology) and function is a fundamental problem in brain research. In this paper we present a new framework based on Bayesia...
160
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IJAR
2008
15 years 6 months ago
2008
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
184
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IMC
2007
ACM
15 years 8 months ago
2007
ACM
We address the problem of calculating link loss rates from end-to-end measurements. Contrary to existing works that use only the average end-to-end loss rates or strict temporal c...