Calibrate: Interactive Analysis of Probabilistic Model Output-Reference-Cited by-同舟云学术

Calibrate: Interactive Analysis of Probabilistic Model Output

Published:2023-01 Issue:1 Volume:29 Page:853-863
ISSN:1077-2626
Container-title:IEEE Transactions on Visualization and Computer Graphics
language:
Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Xenopoulos Peter¹,Rulff Joao¹,Nonato Luis Gustavo²^ORCID,Barr Brian³,Silva Claudio¹^ORCID

Affiliation:

1. New York University, USA

2. ICMC-USP, São Carlos, Brazil

3. Capital One, USA

Funder

Capital One

NASA

NSF

DARPA PTG

D3M

São Paulo Research Foundation (FAPESP)-Brazil

CNPq-Brazil

DARPA

FAPESP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

http://xplorestaging.ieee.org/ielx7/2945/9991003/09904444.pdf?arnumber=9904444

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4. Obtaining well calibrated probabilities using bayesian binning;naeini;Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence January 25–30 2015 Austin Texas USA,2015

5. Reliability of Subjective Probability Forecasts of Precipitation and Temperature

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