Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection

The laborious process of labeling data often bottlenecks projects that aim to leverage the power of supervised machine learning. Active Learning (AL) has been established as a technique to ameliorate this condition through an iterative framework that queries a human annotator for labels of instances...

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Veröffentlicht in:	arXiv.org 2022-03
Hauptverfasser:	Bradberry, Trent J, Hase, Christopher H, Kent, LeAnna, Góngora, Joel A
Format:	Artikel
Sprache:	eng
Schlagworte:	Classifiers Data analysis Datasets Labeling Labels Machine learning Outliers (statistics) Performance prediction Supervised learning
Online-Zugang:	Volltext
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