1022 search results - page 60 / 205 » New models and algorithms for programmable networks |
130
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JMLR
2010
14 years 7 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
134
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ACSC
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
135
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OSN
2011
14 years 7 months ago
2011
—Different physical impairments can occur in optical transmission systems. Impairments such as fiber nonlinear effects are dependent on network state and vary with traffic and to...
103
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NN
2006
Springer
15 years 23 days ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
CNSR
2007
IEEE
15 years 2 months ago
2007
IEEE
Wireless sensor networks have mainly been designed for information-collecting purposes, such as habitat monitoring, product process tracing, battlefield surveillance, etc. In orde...