Results 11 to 20 of about 35,901 (218)
A Discretization Algorithm Based on Forest Optimization Network and Variable Precision Rough Set
Xibei Gongye Daxue Xuebao, 2020 Discretization of multidimensional attributes can improve the training speed and accuracy of machine learning algorithm. At present, the discretization algorithms perform at a lower level, and most of them are single attribute discretization algorithm ...
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Rough-Set-Theory-Based Classification with Optimized k-Means Discretization
Technologies, 2022 The discretization of continuous attributes in a dataset is an essential step before the Rough-Set-Theory (RST)-based classification process is applied. There are many methods for discretization, but not many of them have linked the RST instruments from ...
Teguh Handjojo Dwiputranto +2 more
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Discretization Based on Entropy and Multiple Scanning
Entropy, 2013 In this paper we present entropy driven methodology for discretization. Recently, the original entropy based discretization was enhanced by including two options of selecting the best numerical attribute.
Jerzy W. Grzymala-Busse
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Testing normality of latent variables in the polychoric correlation
Statistica, 2014 This paper explores the feasibility of simultaneously facing three sources of complexity in Bayesian testing, namely (i) testing a parametric against a non-parametric alternative (ii) adjusting for partial observability (iii) developing a test under a ...
Carlos Almeida, Michel Mouchart
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DATA DISCRETIZATION IN PROGNOSTIC MODELS FOR EPIDEMIOLOGY
Cifra: Медико-биологические наукиAfter COVID-19 pandemic, the epidemilogical data prediction had become of a great importance. Since that, numerous different prognostic models, including those involving neural-network based, have been developed, applied and verified.
Elistratov S.A.
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Mathematics, 2023 This study introduces a unique flexible family of discrete probability distributions for modeling extreme count and zero-inflated count data with different failure rates.
Walid Emam +5 more
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Mathematics, 2020 In this work, we propose and study a new family of discrete distributions. Many useful mathematical properties, such as ordinary moments, moment generating function, cumulant generating function, probability generating function, central moment, and ...
Mohamed Aboraya +3 more
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Journal of Telecommunications and Information Technology, 2015 At present, solutions of many practical problems require significant computational resources and systems (grids, clouds, clusters etc.), which provide appropriate means are constantly evolving.
Mikhail Konovalov, Rostislav Razumchik
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Generation of Synthetic Non-Homogeneous Fog by Discretized Radiative Transfer Equation
Journal of ImagingThe synthesis of realistic fog in images is critical for applications such as autonomous navigation, augmented reality, and visual effects. Traditional methods based on Koschmieder’s law or GAN-based image translation typically assume homogeneous fog ...
Marcell Beregi-Kovacs +3 more
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Entropy, 2023 Relevant attribute selection in machine learning is a key aspect aimed at simplifying the problem, reducing its dimensionality, and consequently accelerating computation.
Wiesław Paja
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