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Reducing Overconfidence In Neural Networks By Dynamic Variation of Recognizer Relevance

Research article (ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova, 2015) · cited 13× · AI/ML
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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 is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Reducing Overconfidence In Neural Networks By Dynamic Variation of Recognizer Relevance. Retrieved May 24, 2026, from https://4ort.xyz/entity/reducing-overconfidence-in-neural-networks-by-dynamic-variation-of-recognizer-relevance
MLA “Reducing Overconfidence In Neural Networks By Dynamic Variation of Recognizer Relevance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reducing-overconfidence-in-neural-networks-by-dynamic-variation-of-recognizer-relevance.
BibTeX @misc{4ortxyz_reducing-overconfidence-in-neural-networks-by-dynamic-variation-of-recognizer-relevance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reducing Overconfidence In Neural Networks By Dynamic Variation of Recognizer Relevance}}, year = {2026}, url = {https://4ort.xyz/entity/reducing-overconfidence-in-neural-networks-by-dynamic-variation-of-recognizer-relevance}, note = {Accessed: 2026-05-24}}
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