RMSE-minimizing confidence intervals for the binomial parameter
Computational Statistics, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feng, Kexin +2 more
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Estimating the RMSE of Small Area Estimates without the Tears [PDF]
Stats, 2021 Small area estimation (SAE) methods can provide information that conventional direct survey estimation methods cannot. The use of small area estimates based on linear and generalized linear mixed models is still very limited, possibly because of the perceived complexity of estimating the root mean square errors (RMSEs) of the estimates.
Diane Hindmarsh, David Steel
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Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks
, 2023 Submitted to the GPTP ...
Haut, Nathan +2 more
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Прогнозування короткочасних даних для крипторинку
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2023 Розвиток криптовалют та криптобірж викликає необхідність розроблення різноманітних інформаційних технологій, необхідних для створення інструментарію аналізу, торгівлі, а також для автоматизації інших бізнес-процесів у фінансових установах.
V. Duda, O. Rolik
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Comparison of temporal and spatial patterns of water quality parameters in Anzali Wetland (southwest of the Caspian Sea) using Support vector machine model [PDF]
Caspian Journal of Environmental Sciences, 2021 Urgent is growing to have reliable information from the country's water resources. In recent years, data mining models such as artificial neural network (ANN), gene expression programming, Bayesian network, machine algorithms, such as a support vector ...
Maryam Fallah +3 more
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Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks [PDF]
, 2020 Changes in Arctic sea ice affect atmospheric circulation, ocean current, and polar ecosystems. There have been unprecedented decreases in the amount of Arctic sea ice due to global warming.
Han, Daehyeon +4 more
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Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2023 Autonomous vehicles use a variety of sensors and machine-learned models to predict the behavior of surrounding road users. Most of the machine-learned models in the literature focus on quantitative error metrics like the root mean square error (RMSE) to learn and report their models' capabilities.
Aravinda Ramakrishnan Srinivasan +11 more
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Comparison of Rice Price Forecasting Using the ARIMA Method on Amazon Forecast and Sagemaker
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company of Cipinang Rice Main Market every day publishes data on price, type of rice and the amount of rice that enters and exits Jakarta area.
Is Mardianto +3 more
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Revista Espinhaço, 2021 Os Modelos Digitais de Elevação (MDE) possibilitam identificar resultantes geomorfológicas e modelar a dinâmica dos processos da superfície terrestre. Identificar e analisar a precisão vertical dos MDE é pertinente para compreender as possibilidades de ...
Heitor Carvalho Lacerda +4 more
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ITEM: Inter-Texture Error Measurement for 3D Meshes [PDF]
, 2011 We introduce a simple and innovative method to compare any two texture maps, regardless of their sizes, aspect ratios, or even masks, as long as they are both meant to be mapped onto the same 3D mesh.
Fuentes Sánchez, David +2 more
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