316 search results - page 23 / 64 » Genomic computing networks learn complex POMDPs |
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
BMCBI
2006
13 years 7 months ago
2006
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
IDA
2009
Springer
13 years 5 months ago
2009
Springer
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
ISCAS
1995
IEEE
13 years 11 months ago
1995
IEEE
Embryological electronics or “Embryonics” is a new paradigm for developing digital systems of any complexity, endowed of universal computation, self-repair and self-reproducti...