Results 211 to 220 of about 149,415 (266)

Resolving non-identifiability mitigates systematic errors in simultaneous models of neural tuning and functional coupling. [PDF]

open access: yesJ Comput Neurosci
Sachdeva P   +6 more
europepmc   +1 more source

Response to the Letter by Zhang "The hidden variable in a 'neutral' upgrade: why parameter re-tuning and perceived reliability matter after G6 → G7 in Control-IQ". [PDF]

open access: yesTher Adv Endocrinol Metab
Nattero-Chávez L   +11 more
europepmc   +1 more source

Parameter tuning for meta-heuristics

Knowledge-Based Systems, 2020
Abstract These days meta-heuristic algorithms are gaining lot of popularity. The performance of the meta-heuristics depends upon the suitable selection of user dependent parameters. Finding the most suitable values for the parameters (fine tuning) is a challenging problem.
Susheel Kumar Joshi   +1 more
openaire   +1 more source

Multiobjectivization for classifier parameter tuning

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2013
We present a multiobjectivization approach to the parameter tuning of RBF networks and multilayer perceptrons. The approach works by adding two new objectives -- maximization of kappa statistic and minimization of root mean square error -- to the originally single-objective problem of minimizing the classification error of the model.
Martin Pilát, Roman Neruda
openaire   +2 more sources

Tuning of 802.11e network parameters

IEEE Communications Letters, 2006
This paper introduces a mechanism which dynamically tunes the parameters of the 802.11e contention-based access method.
Juliana Freitag Borin   +2 more
openaire   +1 more source

Scalable parameter tuning for AVQ

IEEE Communications Letters, 2005
This letter proposes a simple, scalable, practical and systematic rule for tuning the control parameter of the adaptive virtual queue (AVQ) active queue management scheme. An explicit stability condition of AVQ is proposed using classical control theory. Theoretical analyses as well as simulation results are used to validate the result.
Liansheng Tan   +4 more
openaire   +1 more source

When parameter tuning actually is parameter control

Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011
In this paper, we show that sequential parameter optimization (SPO), a method that was designed for (offline) parameter tuning, can be successfully used as a controller for multistart approaches of evolutionary algorithms (EA). We demonstrate this by replacing the restart heuristic of the IPOP-CMA-ES with the SPO algorithm. Experiments on the BBOB 2010
Simon Wessing   +2 more
openaire   +1 more source

Parameter Tuning of Stable Fuzzy Controllers

Journal of Intelligent and Robotic Systems, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jean-Yves Dieulot, Pierre Borne
openaire   +2 more sources

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