(2021). Estimating Expected Calibration Errors. In: Farkaš, I., Masulli, P., Otte, S., Wermter, S. (eds) Artificial Neural Networks and Machine Learning – ICANN 2021. ICANN 2021. Lecture Notes in Computer Science(), vol 12894. Springer, Cham. https://doi.org/10.1007/978-3-030-...
Random weighting is a generalization of the traditional resampling methods and is expected to have a lower risk of getting an insufficient training set. For prediction, only the training samples with random weights less than a threshold value are selected to ensure that the prediction samples have ...
Hence, this calibration allowed us to define parameter regions that reproduce each transmission level (Fig. 4) for inclusion in the transmission model. Fig. 4: Basic reproductive number and relative transmissibility in <5-year-olds for 7 social contact matrices (SCM). For each SCM, the left-...
The error bars correspond to statistical errors, but the systematic ones are more difficult to evaluate. We estimate the calibration errors in the range of 5%. Comparison with experiments How well does the WLC work? The WLC’s force-versus-extension curve is a highly nonlinear function: at ...
(BS)49to measure the calibration of probabilistic predictions:\({\mathrm{BS}} = \frac{1}{n}\mathop {\sum}\nolimits_{i = 1}^n {\left(\xi _{{\boldsymbol{x}}^{(i)}} - \widehat {\xi _{{\boldsymbol{x}}^{(i)}}}\right)^2}\)with, in our case,\(\xi _{{\boldsymbol...
This 3D uncertainty grid would subsequently be used to compare the manually created geological model with the calibration model, through visual and quantitative assessment. Gradually, one could compare areas created according to individual boundary values for uncertainty (e.g., from 0 to 0.1, from ...
EC is a strong light absorbing PM2.5 component; therefore MISR light-absorbing AOD14 with a single scattering albedo of 0.80 at 558 nm contributes significantly to the EC model as expected. However, MISR AOD2 representing non-absorbing aerosol is also positively related with PM2.5 EC ...
The samples were weighed one at a time on the milligram scale, then returned to the tray. The calibration of the scale was checked every few measurements using 10 g and 2 g weights. Once weighing was complete, the tray was moved back into the oven. ...
The accuracy of the blood pressure cuff is a significant limitation to using single-point or hybrid calibration for BP estimation. Slight errors in a single cuff reading, caused by instrumentation error as well as user error (movement, wrong cuff size, etc) may translate into a consistent ...
These calibration factors and the estimations from the virtual sensors might drift due to environmental changes or physical sensors degradation. These models might not be accurate anymore in case of occasional events, such as wildfire, extreme weather, etc. Therefore, the application of virtual ...