Results 21 to 30 of about 32,280 (249)
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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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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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 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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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
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Filomat, 2020 In this paper, we define (strongly) ss-discrete, semi-ss-discrete and quasi-ss-discrete modules as a strongly notion of (strongly) discrete, semi-discrete and quasi-discrete modules with the help of ss-supplements in [3]. We examined the basic properties of these modules and included characterization of strongly ss-discrete modules over ...
Turkmen, Burcu Nisanci, Eryilmaz, Figen
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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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Mathematics, 2020 Queueing systems with random resource requirements, in which an arriving customer, in addition to a server, demands a random amount of resources from a shared resource pool, have proved useful to analyze wireless communication networks.
Valeriy A. Naumov +2 more
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SSRN Electronic Journal, 2019 Governments are outsourcing their tasks to ICT. This changes discretion of street level bureacrats,
Zouridis, S. +2 more
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Discrete Memristor and Discrete Memristive Systems
Entropy, 2022 In this paper, we investigate the mathematical models of discrete memristors based on Caputo fractional difference and G–L fractional difference. Specifically, the integer-order discrete memristor is a special model of those two cases. The “∞”-type hysteresis loop curves are observed when input is the bipolar periodic signal.
Shaobo He +4 more
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