862 search results - page 35 / 173 » Regularized Learning with Networks of Features |
CORR
2010
Springer
14 years 10 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
100
click to vote
ECAL
2003
Springer
15 years 5 months ago
2003
Springer
Fractal proteins are a new evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Ma...
ICML
2006
IEEE
16 years 18 days ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
110
click to vote
IPPS
1998
IEEE
15 years 4 months ago
1998
IEEE
Boundeddegreenetworks like deBruijn graphsor wrapped butterfly networks are very important from VLSI implementation point of view as well as for applications where the computing n...