Results 221 to 230 of about 667,397 (267)

A clustering coefficient for complete weighted networks

Network Science, 2015
AbstractThe clustering coefficient is typically used as a measure of the prevalence of node clusters in a network. Various definitions for this measure have been proposed for the cases of networks having weighted edges which may or not be directed. However, these techniques consistently assume that only a subset of all possible edges is present in the ...
Bijma, F., Mc Assey, M.P.
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Unilateral Weighted Jaccard Coefficient for NLP

2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI), 2015
Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various similarity measures are categorized in both syntactic and semantic relationships. In this paper we present a novel similarity, Unilateral Weighted Jaccard Coefficient (uwJaccard), which takes into ...
Julio Santisteban, Javier Tejada-Cárcamo   +1 more
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On the stability of quasipolynomials with weighted diamond coefficients

Multidimensional Systems and Signal Processing, 1994
The robust stability of families of time delay systems with multiple interval delays and complex weighted diamond coefficients is considered. Three families of quasipolynomials with weighted diamond coefficients are investigated. Edge-type stability criteria for the quasipolynomials are established.
Judith Hocherman, Vladimir L. Kharitonov, Jacob Kogan, Ezra Zeheb   +3 more
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A New Interpretation of the Weighted Kappa Coefficients

Psychometrika, 2016
AbstractReliability and agreement studies are of paramount importance. They do contribute to the quality of studies by providing information about the amount of error inherent to any diagnosis, score or measurement. Guidelines for reporting reliability and agreement studies were recently provided.
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Weight coefficients in the weighted least squares method

Numerical Analysis and Applications, 2015
Summary: We consider a problem of estimating some parameters of linear mathematical models. It is found that by choosing weight coefficients in the least squares method, one can obtain solutions by minimizing any penalty functions of a wide class, including Hölder norms.
Bychkov, I. V., Zorkal'tsev, V. I., Kazazaeva, A. V.   +2 more
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Weight Coefficients in the Appraisal System Approach

2019
Among the market oriented appraisal methods, an interesting possibility is represented by the application of the Appraisal System Approach, whose reliability is linked to the availability of an adequate number of comparison data needful to allow the mathematical resolution of the system itself.
Morano P., Tajani F., Salvo F., De Ruggiero M.   +3 more
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Weighted Averaging Method For Evoked Potential: Determination Of Weighted Coefficients

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992
The signal-to-noise ratio (SNR) depends on the selection of weighted coefficients when weighted averaging is applied to estimate evoked potentials (EP's). In contrast to Hoke's method based on the consideration of the noise activity in one ensemble being evaluated in terms of statistics, we suggest that the output energy after weighted averaging can be
Zhaoxia Fan, Tao Wang
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A General Weighted Two-Way Dissimilarity Coefficient

Journal of Classification, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Trevor F. Cox, Michael A. A. Cox
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On the order of reflection coefficients for Generalized Jacobi weights

Acta Mathematica Hungarica, 2012
Denote by \(\varphi_n(W,z)\), shortly \(\varphi_n(z)\), the monic orthogonal polynomials associated with the weight function \(W(\theta)\) which, under some conditions (known in the literature) allows that there exists a unique system of orthogonal polynomials on the unit circle with respect to \(w\).
DELLA VECCHIA, Biancamaria, G. Mastroianni, L. Szili, P. Vertesi   +3 more
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Weighting coefficients for chirp rate estimation

IEEE Transactions on Signal Processing, 1995
Weighting coefficients for minimum variance chirp rate estimation from second phase differences are determined. Both recurrence relations and the closed-form expression are presented. >
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