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Mostrando ítems 31-40 de 1622
Meta-learning recommendation of default hyper-parameter values for SVMs in classifications tasks
(2015-01-01)
Machine learning algorithms have been investigated in several scenarios, one of them is the data classification. The predictive performance of the models induced by these algorithms is usually strongly affected by the ...
Torsional balance of asymmetric structures by means of tuned mass dampers
(ELSEVIER SCI LTD, 2012)
This research studies the response of asymmetrical linear and nonlinear structures subjected to unidirectional and bidirectional seismic excitation, equipped with one or two Tuned Mass Dampers (TMDs). The optimized parameters ...
On the consistency conditions to braneworlds in scalar-tensor gravity for arbitrary dimensions
(2009-12-01)
We derive an one-parameter family of consistency conditions to braneworlds in the Brans-Dicke gravity. The General Relativity case is recovered by taking a correct limit of the Brans-Dicke parameter. We show that it is ...
On the consistency conditions to braneworlds in scalar-tensor gravity for arbitrary dimensions
(2009-12-01)
We derive an one-parameter family of consistency conditions to braneworlds in the Brans-Dicke gravity. The General Relativity case is recovered by taking a correct limit of the Brans-Dicke parameter. We show that it is ...
Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments
(Ieee, 2014-01-01)
Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. ...