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IJON
2002
103views more  IJON 2002»
13 years 8 months ago
RBF networks training using a dual extended Kalman filter
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
Iulian B. Ciocoiu
BMCBI
2005
122views more  BMCBI 2005»
13 years 9 months ago
A neural strategy for the inference of SH3 domain-peptide interaction specificity
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...
DSN
2008
IEEE
14 years 3 months ago
An integrated approach to resource pool management: Policies, efficiency and quality metrics
: The consolidation of multiple servers and their workloads aims to minimize the number of servers needed thereby enabling the efficient use of server and power resources. At the s...
Daniel Gmach, Jerry Rolia, Ludmila Cherkasova, Gui...
NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 9 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
ICPADS
2008
IEEE
14 years 3 months ago
Query Management in a Sensor Environment
Traditional sensor network deployments consisted of fixed infrastructures and were relatively small in size. More and more, we see the deployment of ad-hoc sensor networks with h...
Martin F. O'Connor, Vincent Andrieu, Mark Roantree