Linear combinations of composition operators on weighted Dirichlet spaces
Wuhan University Journal of Natural Sciences, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Sparse ensembles using weighted combination methods based on linear programming
Pattern Recognition, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Li, Zhou, Wei-Da
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Locally weighted linear combination in a vector geographic information system
Journal of Geographical Systems, 2013Weighted linear combination is a multi-criteria decision analysis technique that can be used by decision-makers to select an optimal location from a collection of alternative locations. Its local form takes into account the range of attribute values within a user-defined neighbourhood in accordance with the range-sensitivity principle.
Brad Carter, Claus Rinner
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Alternative empirical distributions based on weighted linear combinations of order statistics
Stochastic Analysis and Applications, 2000A class of empirical distributions is introduced which are based on various weighted linear combinations of order statistics, and which have convergence properties the classical empirical distribution does not, or which stochastically or convexly dominate the classical empirical ...
Hill, Theodore P., Mann, James
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Analysis and implementation of linear combination of weighted order statistic filters
[Proceedings 1992] IEEE International Conference on Systems Engineering, 2003A linear combination of weighted order statistic (LWOS) filters, which can be thought of as an extension of stack filters, can represent any Boolean function (BF) or its extension, which is called the extended BF (EBF). The authors present a procedure for finding an LWOS filter of the simplest type from LWOS filters which are equivalent to a given BF ...
J. Song, Y.H. Lee
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Linear fixed weight combination prediction model and model optimum seeking method
2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, 2012It is educed that synchronously considering the accuracy and stability of prediction model is the primary reason that the linear fixed weight combination prediction model based on minimizing error sum of squares is widely applied to differently domanial prediction problems now by analyzing.
Baohua Xu, Dong Han, Chao Xu
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A PSO-based weighting method for linear combination of neural networks
Computers & Electrical Engineering, 2010This paper presents a new way of computing the weights for combining multiple neural network classifiers based on particle swarm optimization, PSO. The weights are obtained so that they minimize the total classification error rate of the ensemble system. In order to evaluate the effectiveness of the proposed method, we have carried out some experiments
S.H. Nabavi-Kerizi, M. Abadi, E. Kabir
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sukhorukova, Nadezda, Ugon, Julien
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Estimation of weights to combine trained neural networks using linear estimation techniques
2011 IEEE 14th International Multitopic Conference, 2011Input feature selection and appropriate weight estimation in combining trained neural network are one of the important key factors in neural stacked neural network based models. This study has investigated these problems through the information theory and linear estimation weight techniques.
Nadeem Qazi, Hoi Yeung
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Advantages of combining linear programming and weighted goal programming for agriculture application
Operational Research, 2014The aim of this paper is to present the basic characteristics of linear programing (LP) and weighted goal programming (WGP) to optimize processes on farms. Characteristics of both mathematical techniques are presented through the development of the crop planning model for solving some objective problems: maximizing financial results and minimizing ...
Prišenk, Jernej +5 more
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