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Phonetica, 2012
AbstractPhonetic inquiry, particularly of the kind which looks at large numbers of items, frequently asks what a ‘typical’ example of a phenomenon of speech is like. For example, in describing the plosives of a language, it is common to calculate average closure durations or voice onset times in some contexts.
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AbstractPhonetic inquiry, particularly of the kind which looks at large numbers of items, frequently asks what a ‘typical’ example of a phenomenon of speech is like. For example, in describing the plosives of a language, it is common to calculate average closure durations or voice onset times in some contexts.
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Outlier detection algorithms typically assign an outlier score to each observation in a dataset, indicating the degree to which an observation is an outlier. However, these scores are often not comparable across algorithms and can be difficult for humans to interpret.
Philipp Röchner +4 more
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Philipp Röchner +4 more
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Robust Regression and Outlier Detection
Wiley Series in Probability and Statistics, 2005P. Rousseeuw, A. Leroy
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A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Big Data and Cognitive Computing, 2021Omar Alghushairy +2 more
exaly
Outlier and influence diagnostics for meta‐analysis
Research Synthesis Methods, 2010W. Viechtbauer, M. Cheung
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Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data
IEEE Transactions on Cybernetics, 2022Zhong Yuan, Hongmei Chen, Binbin Sang
exaly
Encyclopedia of Social Network Analysis and Mining
Yufeng Kou, Chang-Tien Lu
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Yufeng Kou, Chang-Tien Lu
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A novel outlier detecting algorithm based on the outlier turning points
Expert Systems With Applications, 2023Jinlong Huang +2 more
exaly