The local calibration models of one-product have some disadvantages as a large number of computations required for each prediction in routine analysis, besides the fact that each specific calibration ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Explore multi-sensor calibration techniques for advanced driver assistance systems in autonomous vehicles to ensure accurate ...

Abstract: This article presents a new metric to assess the performance of different multivariate data reduction models in wireless sensor networks. The proposed metric is called updating frequency ...

Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting highly skewed ...

deep-learning uncertainty-neural-networks model-calibration uncertainty-quantification uncertainty-estimation variational-inference bayesian-deep-learning probabilistic-neural-network ...

zlin7 / KCal Star 0 Code Issues Pull requests calibration model-calibration iclr2023 Updated on Feb 19, 2023 Python Improve this page Add a description, image, and links to the model-calibration topic ...