Results 1 to 10 of about 178,705 (167)
Semantic processing of English sentences using statistical computation based on neurophysiological models [PDF]
Frontiers in Physiology, 2015 Computer programs that can accurately interpret natural human language and carry out instructions would improve the lives of people with language processing deficits and greatly benefit society in general.
Marcia T Mitchell
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Mathematics, 2022 This paper is devoted to proposing a modified conjugate residual method for solving the generalized coupled Sylvester tensor equations. To further improve its convergence rate, we derive a preconditioned modified conjugate residual method based on the ...
Tao Li, Qing-Wen Wang, Xin-Fang Zhang
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Neural-prior stochastic block model
Machine Learning: Science and Technology, 2023 The stochastic block model (SBM) is widely studied as a benchmark for graph clustering aka community detection. In practice, graph data often come with node attributes that bear additional information about the communities.
O Duranthon, L Zdeborová
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Best practices in statistical computing [PDF]
Statistics in Medicine, 2021 The world is becoming increasingly complex, both in terms of the rich sources of data we have access to and the statistical and computational methods we can use on data. These factors create an ever‐increasing risk for errors in code and the sensitivity of findings to data preparation and the execution of complex statistical and computing methods.
Ricardo Sanchez +3 more
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Analysis and achievement for fractional optimal control of Hepatitis B with Caputo operator
Alexandria Engineering Journal, 2023 Deciphering the effect of long memory on dynamic behavior is important for controlling disease transmission. Employing fractional order calculus, here, we propose a model with Caputo operator to emphasize the regulation effect of the long memory on the ...
Jingwen Zhang +3 more
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Modelling and analysis of rumour propagation based on stochastic optimal control
Alexandria Engineering Journal, 2022 Considering the decay of information with time, this paper proposes a rumour propagation model based on information intervention. Applying optimal control and stochastic noise propagation, we explain the influence of the information intervention ...
Yize Zhou +3 more
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The effect and mechanism of new energy demonstration city policies on green innovation of new energy enterprises in China [PDF]
Ziyuan Kexue, 2023 [Objective] Green innovation is a key driving force for addressing environmental challenges and achieving high-quality development. Studying the impact and mechanism of policies for new energy demonstration cities on green innovation can provide ...
ZHOU Anhua, WANG Saige
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Theoretical characterization of uncertainty in high-dimensional linear classification
Machine Learning: Science and Technology, 2023 Being able to reliably assess not only the accuracy but also the uncertainty of models’ predictions is an important endeavor in modern machine learning. Even if the model generating the data and labels is known, computing the intrinsic uncertainty after ...
Lucas Clarté +3 more
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Mathematics, 2020 This paper describes the use of the non-homogeneous stochastic Weibull diffusion process, based on the two-parameter Weibull density function (the trend of which is proportional to the two-parameter Weibull probability density function).
Ahmed Nafidi +3 more
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Error scaling laws for kernel classification under source and capacity conditions
Machine Learning: Science and Technology, 2023 In this manuscript we consider the problem of kernel classification. While worst-case bounds on the decay rate of the prediction error with the number of samples are known for some classifiers, they often fail to accurately describe the learning curves ...
Hugo Cui +3 more
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