28 search results - page 4 / 6 » Nonlinear Markov Networks for Continuous Variables |
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CLEIEJ
2007
14 years 11 months ago
2007
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
UAI
2000
15 years 28 days ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
INFOCOM
2010
IEEE
14 years 10 months ago
2010
IEEE
—We consider a widely applicable model of resource allocation where two sequences of events are coupled: on a continuous time axis (t), network dynamics evolve over time. On a di...
CISS
2008
IEEE
15 years 6 months ago
2008
IEEE
—This paper studies a network under TCP congestion control, in which the number of flows per user is explicitly taken into account. We present a control law for this variable th...
110
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JMLR
2010
14 years 6 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...