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Detecting outliers in segmented genomes of flu virus using an alignment-free approach
Published 2020-03-01Subjects: Get full text
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Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases
Published 2018-01-01“…Mining outlier data guarantees access security and data scheduling of parallel databases and maintains high-performance operation of real-time databases. …”
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Modeling bacterial interactions uncovers the importance of outliers in the coastal lignin-degrading consortium
Published 2025-01-01“…Our study highlights the unrecognized role of outliers in lignin degradation.…”
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Handling Multicollinearity and Outliers in Logistic Regression Using the Robust Kibria–Lukman Estimator
Published 2024-12-01Subjects: Get full text
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection
Published 2024-01-01Subjects: Get full text
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María Valero Redondo, Determining Wuthering Heights: Ideology, Intertexts, Tradition
Published 2023-03-01Get full text
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« Very much in the dark about light » : Franklin, lumières et critiques
Published 2009-12-01Get full text
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Impact of rare non-coding variants on human diseases through alternative polyadenylation outliers
Published 2025-01-01“…Here we constructed a comprehensive atlas of alternative polyadenylation (APA) outliers (aOutliers), including 1334 3′ UTR and 200 intronic aOutliers, from 15,201 samples across 49 human tissues. …”
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Identification of V-Formations and Circular and Doughnut Formations in a Set of Moving Entities with Outliers
Published 2014-01-01“…In this paper we present a model to identify V-formations and circular formations with outliers. An outlier is an entity which is part of a formation but is away from it. …”
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John Dean et Jacques Pothier eds. Regards croisés sur New York.
Published 2006-04-01Get full text
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Robust Wavelet Estimation to Eliminate Simultaneously the Effects of Boundary Problems, Outliers, and Correlated Noise
Published 2012-01-01“…Although polynomial wavelet regression and local polynomial wavelet regression effectively reduce the risk of this problem, the estimates from these two methods can be easily affected by the presence of correlated noise and outliers, giving inaccurate estimates. This paper introduces two robust methods in which the effects of boundary problems, outliers, and correlated noise are simultaneously taken into account. …”
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Outlier Detection and Correction for Monitoring Data of Water Quality Based on Improved VMD and LSSVM
Published 2019-01-01“…Combined with LSSVM algorithm, the outliers of water quality can be detected and repaired. …”
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Jerome David Salinger (1919-2010) : l’ombre et la lumière
Published 2010-09-01Get full text
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The effects of outdated data and outliers on Kenya’s 2019 Global Food Security Index score and rank
Published 2023-03-01Get full text
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A Robust Skewed Boxplot for Detecting Outliers in Rainfall Observations in Real-Time Flood Forecasting
Published 2019-01-01“…The standard boxplot is one of the most popular nonparametric tools for detecting outliers in univariate datasets. For Gaussian or symmetric distributions, the chance of data occurring outside of the standard boxplot fence is only 0.7%. …”
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Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation
Published 1989-01-01“…In this paper we discuss the behavlor of the statistic R^(t) , the uniformly minimum variance unbiased (UMVU) estimate for the reliability of gamma distribution with unknown scale parameter σ when an outlier observation is present. Given the outlier effect on σ, we determine bounds for the mean and mean square error (MSE) of R(t). …”
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