319 search results - page 43 / 64 » Learning Nonlinear Manifolds from Time Series |
102
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NN
2007
Springer
14 years 9 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
BMCBI
2006
14 years 9 months ago
2006
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
100
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ICVS
1999
Springer
15 years 1 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
EH
2004
IEEE
15 years 1 months ago
2004
IEEE
The work presented here tackles the problem of designing a unipolar 6-bit digital-to-analog converter (DAC) with a voltage mode output by hardware evolution. Thereby a Field Progr...