Results 21 to 30 of about 1,097,686 (283)
Computing Multi-Relational Sufficient Statistics for Large Databases [PDF]
, 2014 Databases contain information about which relationships do and do not hold among entities. To make this information accessible for statistical analysis requires computing sufficient statistics that combine information from different database tables. Such
Qian, Zhensong +2 more
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Optimizing the Transition: Replacing Conventional Lubricants with Biological Alternatives through Artificial Intelligence [PDF]
Journal of Applied and Computational MechanicsIn today's modern industry, artificial intelligence (AI) is revolutionizing the formulation, performance optimization, and monitoring of lubricants. By enabling the analysis of large datasets, AI facilitates the development of customized formulations and
Gustavo Soares +5 more
doaj +1 more source
Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany [PDF]
, 2014 In health services and outcome research, count outcomes are frequently encountered and often have a large proportion of zeros. The zero-inflated negative binomial (ZINB) regression model has important applications for this type of data.
Ma, Shuangge, Wang, Ching-Yun, Wang, Zhu
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Bayesian model selection in logistic regression for the detection of adverse drug reactions [PDF]
, 2015 Motivation: Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, exploring such databases requires statistical methods.
Marbac, Matthieu +2 more
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Jurnal Sisfokom, 2021 The Pandemic Covid-19 in Indonesia in 2020 had an impact on Termination of Employment (PHK), this has received various public opinions on social media. At a time when the poverty rate is high and unemployment increases every year, it becomes a factor of
Wiyanto, Zulita Setyaningsih
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A networked voting rule for democratic representation [PDF]
, 2018 We introduce a general framework for exploring the problem of selecting a committee of representatives with the aim of studying a networked voting rule based on a decentralized large-scale platform, which can assure a strong accountability of the elected.
Brigatti, Edgardo +3 more
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Fault Detection of Aircraft Control System Based on Negative Selection Algorithm
International Journal of Aerospace Engineering, 2020 The aircraft control system controls the whole flight movement process. Its fault detection can assist the aircraft PHM system in making decisions and completing the targeted maintenance, which is of great significance to improve the safety and ...
Jie Chen +4 more
doaj +1 more source
Variable selection using MM algorithms [PDF]
, 2005 Variable selection is fundamental to high-dimensional statistical modeling. Many variable selection techniques may be implemented by maximum penalized likelihood using various penalty functions.
Hunter, David R., Li, Runze
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A Randomized Real-Valued Negative Selection Algorithm [PDF]
, 2003 This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it can produce a good estimate of the optimal number of detectors needed to cover the non-self space, and the maximization of the non-self coverage is done through an ...
Fabio González +2 more
openaire +1 more source
Transfer learning through greedy subset selection [PDF]
, 2015 We study the binary transfer learning problem, focusing on how to select sources from a large pool and how to combine them to yield a good performance on a target task.
Caputo, Barbara +2 more
core +5 more sources