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Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?

, , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2282-2292. PMLR, (2023)

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Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules., , and . CoRR, (2024)Conformal Prediction with Partially Labeled Data., , , and . COPA, volume 204 of Proceedings of Machine Learning Research, page 251-266. PMLR, (2023)Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?, , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2282-2292. PMLR, (2023)Simulation as a Decision Support Tool - Estimating the Impacts of using RFID Technologies within Biobanks., , , , and . HEALTHINF, page 337-343. INSTICC Press, (2009)Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset., , , , and . COMPAY@MICCAI, volume 156 of Proceedings of Machine Learning Research, page 216-226. PMLR, (2021)Improving nonlinear up-scaling by adapting to the local edge orientation., , and . VCIP, volume 5308 of SPIE Proceedings, SPIE, (2004)Content-adaptive up-scaling of chrominance using classification of luminance and chrominance data., , and . VCIP, volume 5308 of SPIE Proceedings, SPIE, (2004)Relearning sound localization with new ears, , and . Nature Neuroscience, 1 (5): 417--421 (September 1998)Identification of Spectral Features as Sound Localization Cues in the External Ear Acoustics., and . IWANN, volume 1240 of Lecture Notes in Computer Science, page 1126-1135. Springer, (1997)Bayesian reconstruction of sound localization cues from responses to random spectra., and . Biol. Cybern., 86 (4): 305-316 (2002)