3 search results - page 1 / 1 » Learning Gene Regulatory Networks via Globally Regularized R... |
RECOMB
2007
Springer
14 years 5 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 ...
JMLR
2012
11 years 7 months 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
13 years 6 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...