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What Is the Outlier—Consistent Outlier or Inconsistent Outlier?
Analytical Science AdvancesIn the design of molecules, materials and processes, outliers or outlier samples can be included in a dataset when performing machine learning or regression analysis.
Hiromasa Kaneko
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Journal of Techniques, 2021 The occurrence of tremendous developments in the field of data has led to the formation of huge volumes of data, and it is normal that this leads to the presence of outliers in this data for many reasons, which may have small or large values compared ...
Emad Obaid Merza, Nashaat Jasim Mohammed
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International Journal of STEM Education, 2020 Background As the number of computer science (CS) jobs become increasingly available in this country and computing skills become essential tools for managing all aspects of our personal lives, CS is quickly becoming an essential element of K-12 education
Jeanne Century +2 more
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Robust Algorithms for Change-Point Regressions Using the t-Distribution
Mathematics, 2021 Regression models with change-points have been widely applied in various fields. Most methodologies for change-point regressions assume Gaussian errors. For many real data having longer-than-normal tails or atypical observations, the use of normal errors
Kang-Ping Lu, Shao-Tung Chang
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Clustering With Outlier Removal [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2021 Cluster analysis and outlier detection are strongly coupled tasks in data mining area. Cluster structure can be easily destroyed by few outliers; on the contrary, outliers are defined by the concept of cluster, which are recognized as the points belonging to none of the clusters.
Hongfu Liu 0001 +3 more
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OUTLIER IDENTIFICATION ON PENALIZED SPLINE REGRESSION MODELING FOR POVERTY GAP INDEX IN JAVA
Barekeng, 2022 Java is one of the islands in Indonesia which has good establishment acceleration. Even though economic growth was good, poverty is still a serious problem.
Anggita Rizky Fadilah +2 more
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An Improved RANSAC Outlier Rejection Method for UAV-Derived Point Cloud
Remote Sensing, 2022 A common problem with matching algorithms, in photogrammetry and computer vision, is the imperfection of finding all correct corresponding points, so-called inliers, and, thus, resulting in incorrect or mismatched points, so-called outliers.
Bahram Salehi +2 more
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Robust Estimation for Semi-Functional Linear Model with Autoregressive Errors
Mathematics, 2023 It is well-known that the traditional functional regression model is mainly based on the least square or likelihood method. These methods usually rely on some strong assumptions, such as error independence and normality, that are not always satisfied ...
Bin Yang +3 more
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Plants, 2023 Globally, food and medicinal plants have been documented, but their use patterns are poorly understood. Useful plants are non-random subsets of flora, prioritizing certain taxa.
Fredrick Munyao Mutie +7 more
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Energies, 2022 This paper deals with a method of quantifying the harmonic contribution of each harmonic source to system voltage distortion. Assessing the harmonic contribution of individual harmonic sources is essential for mitigating and managing system harmonic ...
Jong-Il Park, Chang-Hyun Park
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