In this paper, we propose a bias-correction term with an updating equation to adjust the effects of initializations on fuzzy clustering algorithms. We first propose the so-called bias-correction fuzzy clustering of the generalized FCM algorithm. We then construct the bias-correction FCM, bias-...
While MMM has been adopted by many Fortune 500 companies,various limitations have been well-recognized, for example, data collection, selection bias, long-term ef f ectsof advertising, seasonality and funnel ef f ects, see (Chan & Perry 2017; Wolfe 2016) for discussion.A typical MMM at a ...
et al. Large near-term projected snowpack loss over the western United States. Nat. Commun. 8, 14996 (2017). Article ADS CAS Google Scholar Martynov, A. et al. Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model ...
Downscaling and bias-correction are particularly important over the near term (early-to-mid 21st century), in projections of precipitation, in projections of extremes, in regions of complex terrain, and in regions where historical observations disagree. Our results corroborate previous works showing ...
s performance during two different time periods: long-term and short-term corrections. The long-term correction (Fig.2, red box) considered the side bias evaluated across all the trials performed by the mice, whereas the short-term correction (Fig.2, blue box) considered only the most ...
Fig. 1. Experimental framework of the short-term near-surface wind field forecast bias correction. 3. Results and analysis 3.1. Forecast bias of wind speed and wind direction Fig. 2 presents the forecast bias of near-surface wind speed and wind direction from ECMWF-IFS. Based on 14 offshore...
for a different problem. In other words, not only the architecture, but also the learned weights, can be reused. This is often called "transfer learning".Shi et al. (2015,2017)first introduced a novel deep learning method, referred to as a convolutional long short-term memory (ConvLSTM) ...
The term bias correction or bias adjustment refers to any statistical techniques that aim to reduce biases within a scientific study. One bias that is...Become a member and unlock all Study Answers Start today. Try it now Create an account Ask a question Our experts can answer your tough...
In this study, we use Taylor’s expansion method for three reasons: (1) Taylor’s expansion is easy to implement in this study; (2) the error can be easily controlled up to the fourth derivative term; and (3) the approximation is as close to the true value as the sample size n is...
In this study, we use Taylor’s expansion method for three reasons: (1) Taylor’s expansion is easy to implement in this study; (2) the error can be easily controlled up to the fourth derivative term; and (3) the approximation is as close to the true value as the sample size n is...