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INDUCTIVE LEARNING FOR PARAMETER OPTIMIZATION
Cybernetics and Systems, 2000Optimization of simulation model output is one of the most important tasks in a simulation study of a complex system. Efficacy of an optimization approach is expressed in the accuracy of locating a global extremum, as well as in the number of investigated search points.
Rainer Barton, Helena Szczerbicka
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Optimal sequential parameter estimation
2013 IEEE International Symposium on Information Theory, 2013We develop optimal centralized sequential estimators under different formulations of the problem. Decentralized sequential estimation is also considered for wireless sensor networks. We propose an asymptotically optimal decentralized scheme based on level-triggered sampling, a non-uniform sampling technique.
Yasin Yilmaz 0001 +2 more
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On the Definition of a Minimum in Parameter Optimization
Journal of Optimization Theory and Applications, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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CubeSat Separation Parameter Optimization
2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS), 2018To implement noninterference deployment and meet the initial orbital attitude requirements of CubeSat, the CubeSat separation process is designed, theoretical analyzed and parameter optimized. Aiming at the direct-driving kinematic scheme of separation spring pushing CubeSat to open the door, the dynamic mathematical model for kinematic coupling system
Jiaolong Zhang, Jun Zhou, Yaosheng Deng
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GA-SVM based feature selection and parameter optimization in hospitalization expense modeling
Applied Soft Computing, 2019Feature selection and parameter optimization are two important aspects to improve the performance of classifier. A novel approach based on the genetic algorithm(GA) for feature selection and parameter optimization of support vector machine(SVM) is ...
Tao Zhou +3 more
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Optimal quantization of LSP parameters
IEEE Transactions on Speech and Audio Processing, 1993Two nonuniform aspects of the line spectrum pair (LSP) linear predictive coding (LPC) parameters are investigated, including nonuniform statistical distributions and spectral sensitivities of adjacent LSP frequency differences. Based upon these two nonuniform properties, a globally optimal scalar quantizer is designed for each differential LSP ...
Frank K. Soong, Biing-Hwang Juang
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On the parameters optimization in handover algorithms
VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151), 2002This paper investigates the performance of handover algorithms used in microcellular F-TDMA radio networks such as GSM. A very general simulation tool has been developed within the framework of a cooperation be- tween the University of Bologna and Italtel SPA.
O. ANDRISANO +4 more
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Bayesian optimization of BCI parameters
2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2016An important factor in custom designing a brain computer interface, BCI, is the estimation of the values of its parameters. This paper proposes a fully automatic algorithm that uses Bayesian optimization to tune the hyper-parameters of a synchronous BCI. The algorithm finds a large number of possible sets of values for the hyper-parameters. Each set is
Hossein Bashashati +2 more
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Optuna: A Next-generation Hyperparameter Optimization Framework
Knowledge Discovery and Data Mining, 2019The purpose of this study is to introduce new design-criteria for next-generation hyperparameter optimization software. The criteria we propose include (1) define-by-run API that allows users to construct the parameter search space dynamically, (2 ...
Takuya Akiba +4 more
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Optimization of parameters in SDFEM for different spaces of parameters
Applied Mathematics and Computation, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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