Results 1 to 10 of about 2,688 (116)
Importance of Characteristic Features and Their Form for Data Exploration [PDF]
EntropyThe nature of the input features is one of the key factors indicating what kind of tools, methods, or approaches can be used in a knowledge discovery process.
Urszula Stańczyk +2 more
doaj +2 more sources
Significance of Single-Interval Discrete Attributes: Case Study on Two-Level Discretisation
Applied Sciences (Switzerland)Supervised discretisation is widely considered as far more advantageous than unsupervised transformation of attributes, because it helps to preserve the informative content of a variable, which is useful in classification.
Grzegorz Baron +2 more
exaly +3 more sources
Data irregularities in discretisation of test sets used for evaluation of classification systems: A case study on authorship attribution [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 When patterns to be recognised are described by features of continuous type, discretisation becomes either an optional or necessary step in the initial data pre-processing stage.
Urszula Stańczyk, Beata Zielosko
doaj +1 more source
PLoS ONE, 2022 The dynamic performance of the Model Predictive Control (MPC) of an Induction Motor (IM) relies on the accuracy and computational efficiency of the Discretisation Technique (DT).
Hasan Alqaraghuli +4 more
doaj +2 more sources
Numerical Valuation of American Basket Options via Partial Differential Complementarity Problems
Mathematics, 2021 We study the principal component analysis based approach introduced by Reisinger and Wittum (2007) and the comonotonic approach considered by Hanbali and Linders (2019) for the approximation of American basket option values via multidimensional partial ...
Karel J. in’t Hout, Jacob Snoeijer
doaj +1 more source
A corrected finite-difference scheme for the flexure equation with abrupt changes in coefficient [PDF]
Solid Earth, 2023 The fourth-order differential equation describing elastic flexure of the lithosphere is one of the cornerstones of geodynamics that is key to understanding topography, gravity, glacial isostatic rebound, foreland basin evolution, and a host of other ...
D. Hindle, O. Besson
doaj +1 more source
Fractal and Fractional, 2023 In this paper, the numerical method for a multiterm time-fractional reaction–diffusion equation with classical Robin boundary conditions is considered. The full discrete scheme is constructed with the L1-finite difference method, which entails using the ...
Jian Hou +4 more
doaj +1 more source
Journal of Business Economics and Management, 2017 Multiple uncertainties complicate socio-economic forecasting problems, especially when relying on ill-conditioned limited data. Such problems are best addressed by grey prediction models such as Grey Verhulst Model (GVM).
Mohammad Hashem-Nazari +2 more
doaj +1 more source
IET Microwaves, Antennas & Propagation, 2023 The improved hybrid discretisation of volume integral equation (VIE) combined with the characteristic basis function method is proposed to analyse the scattering from complex dielectric objects in this study.
Fei Huang, Yufa Sun, Ming Li, Dalei Wang
doaj +1 more source
Improved convergence and stability properties in a three-dimensional higher-order ice sheet model [PDF]
Geoscientific Model Development, 2011 We present a finite difference implementation of a three-dimensional higher-order ice sheet model. In comparison to a conventional centred difference discretisation it enhances both numerical stability and convergence.
J. J. Fürst +5 more
doaj +1 more source