Assessing Deep Neural Networks as Probability Estimators

Deep Neural Networks (DNNs) have performed admirably in classification tasks. However, the characterization of their classification uncertainties, required for certain applications, has been lacking. In this work, we investigate the issue by assessing DNNs' ability to estimate conditional proba...

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Veröffentlicht in:	arXiv.org 2023-11
Hauptverfasser:	Pan, Yu, Kwo-Sen Kuo, Rilee, Michael L, Yu, Hongfeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Computer Science - Learning Conditional probability Density Neural networks Probability Sparsity Statistical analysis Statistics - Machine Learning Uncertainty
Online-Zugang:	Volltext
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