9494 search results - page 379 / 1899 » Gaussian Process Networks |
164
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TNN
2010
14 years 11 months ago
2010
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
125
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CD
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. This paper addresses the distribution and the deployment of hierarchical components on heterogeneous dynamic networks. Such networks may include fixed and mobile resourc...
171
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IFIP12
2008
15 years 6 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
156
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AMAI
2004
Springer
15 years 10 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
143
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LCN
2005
IEEE
15 years 10 months ago
2005
IEEE
— In this paper, we describe a novel localization method for ad hoc wireless sensor networks. Accurate selforganization and localization is an essential characteristic of high pe...