DOC3: deep one class classification using contradictions

This paper introduces the notion of learning from contradictions (a.k.a Universum learning) for deep one class classification problems. We formalize this notion for the widely adopted one class large-margin loss (Schölkopf et al. in Neural Comput 13(7):1443–1471), and propose the deep one class clas...

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Veröffentlicht in:	Machine learning 2024-08, Vol.113 (8), p.5109-5150
Hauptverfasser:	Dhar, Sauptik, Gonzalez-Torres, Bernardo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Classification Computer Science Control Deep learning Defective products Hypotheses Machine Learning Manufacturing Mechatronics Natural Language Processing (NLP) Robotics Simulation and Modeling Special Issue on Imbalanced Learning
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