316 search results - page 12 / 64 » Genomic computing networks learn complex POMDPs |
BMCBI
2007
13 years 7 months ago
2007
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
BMCBI
2008
13 years 7 months ago
2008
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
BMCBI
2011
13 years 2 months ago
2011
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...