Results 11 to 20 of about 1,229 (61)

Voter models on subcritical scale‐free random graphs

open access: yesRandom Structures &Algorithms, Volume 62, Issue 2, Page 376-429, March 2023., 2023
Abstract The voter model is a classical interacting particle system modelling how consensus is formed across a network. We analyze the time to consensus for the voter model when the underlying graph is a subcritical scale‐free random graph. Moreover, we generalize the model to include a “temperature” parameter controlling how the graph influences the ...
John Fernley, Marcel Ortgiese
wiley   +1 more source

On Degenerate Poly‐Daehee Polynomials Arising from Lambda‐Umbral Calculus

open access: yesJournal of Mathematics, Volume 2023, Issue 1, 2023., 2023
In this article, we derived various identities between the degenerate poly‐Daehee polynomials and some special polynomials by using λ‐umbral calculus by finding the coefficients when expressing degenerate poly‐Daehee polynomials as a linear combination of degenerate Bernoulli polynomials, degenerate Euler polynomials, degenerate Bernoulli polynomials ...
Sang Jo Yun, Jin-Woo Park, M. M. Bhatti
wiley   +1 more source

Universal prediction band via semi‐definite programming

open access: yesJournal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 4, Page 1558-1580, September 2022., 2022
Abstract We propose a computationally efficient method to construct nonparametric, heteroscedastic prediction bands for uncertainty quantification, with or without any user‐specified predictive model. Our approach provides an alternative to the now‐standard conformal prediction for uncertainty quantification, with novel theoretical insights and ...
Tengyuan Liang
wiley   +1 more source

On the possible benefits of deep learning for spectral preprocessing

open access: yesJournal of Chemometrics, Volume 36, Issue 2, February 2022., 2022
This study compares classical and deep learning (DL)‐based spectral preprocessing. Experiments were performed to find combinations of preprocessing and predictive modelling that are sensible for “chemometric size” datasets. The study includes a discussion about a possible overkill of applying DL preprocessing in light of the simple relations given by ...
Runar Helin   +3 more
wiley   +1 more source

Identities of Degenerate Poly‐Changhee Polynomials Arising from λ‐Sheffer Sequences

open access: yesJournal of Mathematics, Volume 2022, Issue 1, 2022., 2022
In the 1970s, Gian‐Carlo Rota constructed the umbral calculus for investigating the properties of special functions, and by Kim‐Kim, umbral calculus is generalized called λ‐umbral calculus. In this paper, we find some important relationships between degenerate Changhee polynomials and some important special polynomials by expressing the Changhee ...
Sang Jo Yun   +2 more
wiley   +1 more source

A Performance Comparison of Classification Algorithms for Rose Plants

open access: yesComputational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
One of the key roles of Botanists is to be able to recognize flowers. This role has become highly challenging given that the number of discovered flower types are nearing half a million. To support Botanists, Information Technology offers promising solutions.
Muzamil Malik   +5 more
wiley   +1 more source

Degenerate Poly‐Lah‐Bell Polynomials and Numbers

open access: yesJournal of Mathematics, Volume 2022, Issue 1, 2022., 2022
Many mathematicians studied “poly” as a generalization of the well‐known special polynomials such as Bernoulli polynomials, Euler polynomials, Cauchy polynomials, and Genocchi polynomials. In this paper, we define the degenerate poly‐Lah‐Bell polynomials arising from the degenerate polyexponential functions which are reduced to degenerate Lah‐Bell ...
Taekyun Kim, Hye Kyung Kim, Ali Jaballah
wiley   +1 more source

Novel Based Ensemble Machine Learning Classifiers for Detecting Breast Cancer

open access: yesMathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
Nowadays, for many industries, innovation revolves around two technological improvements, Artificial Intelligence (AI) and machine learning (ML). ML, a subset of AI, is the science of designing and applying algorithms that can learn and work on any activity from past experiences.
Taarun Srinivas   +7 more
wiley   +1 more source

Construction on the Degenerate Poly‐Frobenius‐Euler Polynomials of Complex Variable

open access: yesJournal of Function Spaces, Volume 2021, Issue 1, 2021., 2021
In this paper, we introduce degenerate poly‐Frobenius‐Euler polynomials and derive some identities of these polynomials. We give some relationships between degenerate poly‐Frobenius‐Euler polynomials and degenerate Whitney numbers and Stirling numbers of the first kind.
Ghulam Muhiuddin   +3 more
wiley   +1 more source

A New Family of Degenerate Poly‐Genocchi Polynomials with Its Certain Properties

open access: yesJournal of Function Spaces, Volume 2021, Issue 1, 2021., 2021
In this paper, we introduce a new type of degenerate Genocchi polynomials and numbers, which are called degenerate poly‐Genocchi polynomials and numbers, by using the degenerate polylogarithm function, and we derive several properties of these polynomials systematically.
Waseem A. Khan   +4 more
wiley   +1 more source

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