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BMCBI
2010
105views more  BMCBI 2010»
13 years 9 months ago
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems
Background: The Gene Ontology (GO) is used to describe genes and gene products from many organisms. When used for functional annotation of microarray data, GO is often slimmed by ...
Nophar Geifman, Alon Monsonego, Eitan Rubin
NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 8 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
ICMLA
2010
13 years 6 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
ICASSP
2007
IEEE
14 years 3 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown
INFOCOM
1992
IEEE
14 years 1 months ago
An Assessment of State and Lookup Overhead in Routers
The current Internet is based on a stateless (datagram) architecture. However, many recent proposals rely on the maintenance of state information within network routers, leading t...
Deborah Estrin, Danny J. Mitzel