KIT | KIT-Bibliothek | Impressum | Datenschutz

Cost-Quality Trade-Offs in One-Class Active Learning

Englhardt, Adrian

Abstract (englisch):

Active learning is a paradigm to involve users in a machine learning process. The core idea of active learning is to ask a user to annotate a specific observation to improve the classification performance. One important application of active learning is detecting outliers, i.e., unusual observations that deviate from the regular ones in a data set. Applying active learning for outlier detection in practice requires to design a system that consists of several components: the data, the classifier that discerns between inliers and outliers, the query strategy that selects the observations for feedback collection, and an oracle, e.g., the human expert that annotates the queries. Each of these components and their interplay influences the classification quality. Naturally, there are cost budgets limiting certain parts of the system, e.g., the number of queries one can ask a human. Thus, to configure efficient active learning systems, one must decide on several trade-offs between costs and quality. The existing literature on active learning systems does not provide an overview nor a formal description of the cost-quality trade-offs of active learning. ... mehr

Volltext §
DOI: 10.5445/IR/1000136208
Veröffentlicht am 10.08.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Publikationsdatum 10.08.2021
Sprache Englisch
Identifikator KITopen-ID: 1000136208
Verlag Karlsruher Institut für Technologie (KIT)
Umfang ix, 93 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Programmstrukturen und Datenorganisation (IPD)
Prüfungsdatum 14.04.2021
Schlagwörter Active Learning, Anomaly Detection, Outlier Detection, One-Class Classification
Referent/Betreuer Böhm, K.
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page