3 search results - page 1 / 1 » Learning Gene Regulatory Networks via Globally Regularized R... |
RECOMB
2007
Springer
15 years 10 months ago
2007
Springer
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...
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JMLR
2012
13 years 23 days ago
2012
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
ESANN
2004
14 years 11 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...