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Reducing Overconfidence In Neural Networks By Dynamic Variation of Recognizer Relevance
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Reducing Overconfidence In Neural Networks By Dynamic Variation of Recognizer Relevance
Reducing Overconfidence In Neural Networks By Dynamic Variation of Recognizer Relevance
Konstantin B. Bulatov
Konstantin B. Bulatov
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Dmitry V. Polevoy
Dmitry V. Polevoy
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26 May 2015
conference paper
conference paper
Published by
European Council for Modeling and Simulation
https://doi.org/10.7148/2015-0488
Abstract
No abstract available
Cited by 9 articles