Results 11 to 20 of about 277,028 (248)

To Express Required CT-Scan Resolution for Porosity and Saturation Calculations in Terms of Average Grain Sizes [PDF]

Journal of Petroleum Science and Technology, 2018
Despite advancements in specifying 3D internal microstructure of reservoir rocks, identifying some sensitive phenomenons are still problematic particularly due to image resolution limitation.
Ahmed Zoeir, Jafar Qajar
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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, Noor Akhmad Setiawan, Teguh Bharata Adji   +2 more
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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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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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A Novel Discrete Generator with Modeling Engineering, Agricultural and Medical Count and Zero-Inflated Real Data with Bayesian, and Non-Bayesian Inference

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, Yusra Tashkandy, G.G. Hamedani, Mohamed Abdelhamed Shehab, Mohamed Ibrahim, Haitham M. Yousof   +5 more
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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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A New Family of Discrete Distributions with Mathematical Properties, Characterizations, Bayesian and Non-Bayesian Estimation Methods

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, Haitham M. Yousof, G.G. Hamedani, Mohamed Ibrahim   +3 more
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Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges

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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DATA DISCRETIZATION IN PROGNOSTIC MODELS FOR EPIDEMIOLOGY

Cifra: Медико-биологические науки
After 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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An Evolutionary Multi-objective Discretization based on Normalized Cut [PDF]

Journal of Artificial Intelligence and Data Mining, 2020
Learning models and related results depend on the quality of the input data. If raw data is not properly cleaned and structured, the results are tending to be incorrect.
M. Hajizadeh-Tahan, M. Ghasemzadeh
doaj   +1 more source