Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes

We present a framework for online inference in the presence of a nonexhaustively defined set of classes that incorporates supervised classification with class discovery and modeling. A Dirichlet process prior (DPP) model defined over class distributions ensures that both known and unknown class dist...

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Hauptverfasser:	Dundar, Murat, Akova, Ferit, Qi, Alan, Rajwa, Bartek
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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