Results 191 to 200 of about 691,873 (239)

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.
Pilát, M., Neruda, R. (Roman)
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Tuning-Parameter Calibration

2021
Regularized estimators consist of two terms, one for comparing model parameters to data and one for including prior information. The tuning parameters define the weighting: small tuning parameters emphasize the data, while large tuning parameters emphasize the prior information.
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Parameters and Parameter Tuning

2015
Chapter 3 presented an algorithmic framework that forms the common basis for all evolutionary algorithms. A decision to use an evolutionary algorithm implies that the user adopts the main design decisions behind this framework. Thus, the main algorithm setup follows automatically: the algorithm is based on a population of candidate solutions that is ...
A. E. Eiben, J. E. Smith
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NEOCOGNITRON'S PARAMETER TUNING BY GENETIC ALGORITHMS

International Journal of Neural Systems, 1999
The further study on the sensitivity analysis of Neocognitron is discussed in this paper. Fukushima's Neocognitron is capable of recognizing distorted patterns as well as tolerating positional shift. Supervised learning of the Neocognitron is fulfilled by training patterns layer by layer.
Shi, D., Dong, C., Yeung, D.S.
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Parameter Tuning of Stable Fuzzy Controllers

Journal of Intelligent and Robotic Systems, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dieulot, J.-Y., Borne, P.
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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, Mike Preuss, Günter Rudolph   +2 more
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Parameter Tuning for S-ABCPK

International Journal of Web Services Research, 2019
QoS-aware service composition problem has been drawn great attention in recent years. As an NP-hard problem, high time complexity is inevitable if global optimization algorithms (such as integer programming) are adopted. Researchers applied various evolutionary algorithms to decrease the time complexity by looking for a near-optimum solution.
Ruilin Liu, Zhongjie Wang, Xiaofei Xu
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Tuning of EMAS Parameters

2016
Having shown that EMAS approaches are effective in solving selected benchmark and real-life problems, it would be interesting to take an insight into the exact features of the most important mechanism of EMAS, i.e. the distributed selection based on existence of non-renewable resource.
Aleksander Byrski, Marek Kisiel-Dorohinicki   +1 more
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Choosing a robustness tuning parameter

Journal of Statistical Computation and Simulation, 2005
A novel method is proposed for choosing the tuning parameter associated with a family of robust estimators. It consists of minimising estimated mean squared error, an approach that requires pilot estimation of model parameters. The method is explored for the family of minimum distance estimators proposed by [Basu, A., Harris, I.R., Hjort, N.L.
J. Warwick, M. C. Jones
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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.
null Liansheng Tan, null Yan Yang, null Chuang Lin, null Naixue Xiong, M. Zukerman   +4 more
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