Results 1 to 10 of about 1,008,571 (180)
Geriatric Orthopaedic Surgery & Rehabilitation, 2011 Background: Little is known about readmission rates for total hip and total knee arthroplasty (THA and TKA). Our objective was to examine readmission rates and whether hospitals with high and low readmission rates at baseline remain outliers in ...
Peter Cram MD, MBA +4 more
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Media Statistika, 2023 The genotype by environment interaction (GEI) analysis was usually done by Additive Main Effects and Multiplicative Interaction (AMMI) model with Biplot features, and recently there was a Row Column Interaction Model (RCIM) alternatively.
Alfian Futuhul Hadi +2 more
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Unsupervised Outlier Detection in IOT Using Deep VAE
Sensors, 2022 The Internet of Things (IoT) refers to a system of interconnected, internet-connected devices and sensors that allows the collection and dissemination of data.
Walaa Gouda +4 more
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Robust Weighted Approaches to Detect and Deal with Outliers in Estimating Principal Component Regression Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2021 This paper aims to propose an approach to deal with the problem of Multi-Collinearity between the explanatory variables and outliers in the data by using the method of Principal Component Regression, and then using a robust weighting functions for the ...
Esraa Alsaraf, Bashar AL-Talib
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Frontiers in Marine Science, 2022 Uncovering the fine-scale genetic structure has been long recognized as a key component in policymaking for the management of marine fisheries. Many species of Clupeiformes have suffered declines owing to overexploitation and habitat destruction. In this
Bingjian Liu +22 more
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A New Geometric Metric in the Shape and Size Space of Curves in
Mathematics, 2020 Shape analysis of curves in Rn is an active research topic in computer vision. While shape itself is important in many applications, there is also a need to study shape in conjunction with other features, such as scale and orientation. The combination of
Irene Epifanio +3 more
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The hazards of dealing with response time outliers
Frontiers in Psychology, 2023 The presence of outliers in response times can affect statistical analyses and lead to incorrect interpretation of the outcome of a study. Therefore, it is a widely accepted practice to try to minimize the effect of outliers by preprocessing the raw data.
Ivan I. Vankov
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Mathematics, 2020 In the field of supervised machine learning, the quality of a classifier model is directly correlated with the quality of the data that is used to train the model. The presence of unwanted outliers in the data could significantly reduce the accuracy of a
Husein Perez, Joseph H. M. Tah
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A New Ensemble Method for Detecting Anomalies in Gene Expression Matrices
Mathematics, 2021 One of the main problems in the analysis of real data is often related to the presence of anomalies. Namely, anomalous cases can both spoil the resulting analysis and contain valuable information at the same time.
Laura Selicato +8 more
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Robust AOA-Based Target Localization for Uniformly Distributed Noise via ℓp-ℓ1 Optimization
Entropy, 2022 This paper addresses the problem of robust angle of arrival (AOA) target localization in the presence of uniformly distributed noise which is modeled as the mixture of Laplacian distribution and uniform distribution.
Yanping Chen, Chunmei Wang, Qingli Yan
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