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Generalized error-dependent prediction uncertainty in multivariate calibration
(Elsevier Science, 2016-01)
Most of the current expressions used to calculate figures of merit in multivariate calibration have been derived assuming independent and identically distributed (iid) measurement errors. However, it is well known that ...
Learning the prediction error for improving an analytical-based prediction (object-model) system for manipulation tasks
(2018)
One of the main tasks in robotics today, is to
bring robots closer to humans in everyday situations. This
requires the robot to understand how its environment (objects,
people, conditions) behaves. One method that tries ...
Different dimensions of the prediction error as a decisive factor for the triggering of the reconsolidation process
(Academic Press Inc Elsevier Science, 2016-12)
The reconsolidation process is the mechanism by which strength and/or content of consolidated memories are updated. Prediction error (PE) is the difference between the prediction made and current events. It is proposed as ...
Robustness of Predictive Data Mining Methods under the Presence of Measurement Errors in the Context of Production Processes
(IOSR Journals, 2017-02)
One of the main objectives of data analysis in industrial contexts is prediction, that is, to identify a function that allows predicting the value of a response from the values of other variables considered as potential ...
Welfare consequences of persistent climate prediction errors on the insurance markets against natural hazards
(Universidade Federal de Minas GeraisBrasilFCE - DEPARTAMENTO DE DEMOGRAFIAUFMG, 2018)
Method to measure, model, and predict depth and positioning errors of RGB-D Cameras in function of distance, velocity, and vibration
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2021-08-02)
This thesis proposes a versatile methodology for measuring, modeling, and predicting
errors as the Root Mean Square Error (RMSE) in depth and the Relative Positioning Error (RPE) using data captured from an RGB-D camera ...
Robustness Improvement of Predictive Current Control Using Prediction Error Correction for Permanent-Magnet Synchronous Machines
(2016)
The predictive control method deals with the prediction of the motor behavior based on a mathematical model of the motor. This model is dependent on the motor parameters. However, these parameters may not match with their ...