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A distribution-free TSP tour length estimation model for random graphs
Çavdar, Bahar; Sokol, Joel - In: European journal of operational research : EJOR 243 (2015) 2, pp. 588-598
Persistent link: https://www.econbiz.de/10010510015
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Optimal TSP tour length estimation using standard deviation as a predictor
Golden, Bruce; Poikonen, Stefan - In: Computers & operations research : and their … 148 (2022), pp. 1-10
Persistent link: https://www.econbiz.de/10013483585
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A sample average approximation method for disassemblx line balancing problem under uncertainty
Bentaha, Mohand Lounes; Battaïa, Olga; Dolgui, Alexandre - In: Computers & operations research : and their … 51 (2014), pp. 111-122
Persistent link: https://www.econbiz.de/10010408891
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Neural Networks for Robot Collision Estimation and Detection
Sharkawy, Abdel-Nasser - 2022
used for estimating and then detecting the robot’s collisions with the human operator during the cooperation task. This … training, and their effectiveness (%) in detecting the robot’s collisions. This review reveals that the NN is an effective … method in estimating and detecting the human-robot collisions …
Persistent link: https://www.econbiz.de/10014077575
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Robust Adaptive Trajectory Tracking for Wheeled Mobile Robots Based on Gaussian Process Regression
Liu, Dan; Tang, Meiqi; Fu, Junjie - 2022
In this paper, we propose a novel learning-based robust adaptive trajectory tracking controller for wheeled mobile robots (WMR) subject to velocity input uncertainties. Gaussian process regression (GPR) is employed in view of its powerful estimation ability and wide scope of applications as a...
Persistent link: https://www.econbiz.de/10013302085
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Interpolation and backdating with a large information set
Angelini, Elena; Henry, Jérôme; Marcellino, Massimiliano - 2003
Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...
Persistent link: https://www.econbiz.de/10009635924
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Frequency domain principal components estimation of fractionally cointegrated processes
Morana, Claudio - 2004
In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...
Persistent link: https://www.econbiz.de/10009636544
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Interpolation and backdating with a large information set
Angelini, Elena; Henry, Jérôme; Marcellino, Massimiliano - 2003
Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...
Persistent link: https://www.econbiz.de/10009640916
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Testing the adequacy of smooth transition autoregressive models
Eitrheim, Øyvind; Teräsvirta, Timo - 1993
Persistent link: https://www.econbiz.de/10000882121
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Efficient computation for the estimation of the sales response model
Foekens, Eijte W.; Krijnen, Wim P.; Wansbeek, Tom - 1994
Persistent link: https://www.econbiz.de/10000882158