Results 251 to 260 of about 2,112,128 (293)
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Ergonomics, 1999
The study of accidents ('human errors') has been dominated by efforts to develop 'error' taxonomies and 'error' models that enable the retrospective identification of likely causes. In the field of Human Reliability Analysis (HRA) there is, however, a significant practical need for methods that can predict the occurrence of erroneous actions ...
E, Hollnagel, M, Kaarstad, H C, Lee
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The study of accidents ('human errors') has been dominated by efforts to develop 'error' taxonomies and 'error' models that enable the retrospective identification of likely causes. In the field of Human Reliability Analysis (HRA) there is, however, a significant practical need for methods that can predict the occurrence of erroneous actions ...
E, Hollnagel, M, Kaarstad, H C, Lee
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Synthesis and analysis of prediction errors and error fusion based prior for prediction algorithms
Multimedia Tools and Applications, 2021In this paper, we propose a simple and efficient post-processing algorithm to improve the accuracy of prediction based, computationally simple image reconstruction algorithms. The proposed algorithm works where there is a need to restore the missing pixels (such as interpolation, deinterlacing, sub-pixel rendering, denoising, and demosaicing).
Neeraj Kumar +2 more
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Quantization Error in Predictive Coders
IEEE Transactions on Communications, 1975Predictive coders have been suggested for use as analog data compression devices. Exact expressions for reconstructed signal error have been rare in the literature. In fact most results reported in the literature are based on the assumption of Gaussian statistics for prediction error.
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Gaining on reward prediction errors
Nature Neuroscience, 2016In this issue of Nature Neuroscience, Eshel et al. characterize the homogeneity with which individual dopamine neurons encode reward prediction error, a teaching signal that is thought to be crucial for associative learning.
Nathan F, Parker, Ilana B, Witten
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Minimising the Context Prediction Error
2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, 2007Context prediction mechanisms proactively provide information on future contexts. Due to this knowledge novel applications become possible that provide services with proactive knowledge to users. The most serious problem of context prediction mechanisms lies in a basic property of prediction itself. A prediction is always a guess.
Stephan Sigg +2 more
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Reward positivity: Reward prediction error or salience prediction error?
Psychophysiology, 2016AbstractThe reward positivity is a component of the human ERP elicited by feedback stimuli in trial‐and‐error learning and guessing tasks. A prominent theory holds that the reward positivity reflects a reward prediction error signal that is sensitive to outcome valence, being larger for unexpected positive events relative to unexpected negative events (
Sepideh, Heydari, Clay B, Holroyd
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On the Error of Prediction of a Time Series
Biometrika, 1972Abstract : Parametric and nonparametric procedures for the prediction of a time series are discussed. In each case the increase in the mean squared error of prediction over its minimum level due to the use of estimated spectra is assessed. The fitting of simple parametric models as approximations is also discussed. (Author)
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Prediction of the Probable Errors of Predictions
Monthly Weather Review, 1985Abstract We propose here a method of “stochastic-dynamic” prediction that is computationally more efficient than integration of the full set of “second-moment” equations. This gain is achieved by omitting covariances between modes in different interacting triads, and by expressing intratriad covariances in terms of error variances, via the conditions ...
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Behavioural Brain Research, 2016
Violations of outcome expectancies have been proposed to account for error-related brain activity in the medial prefrontal cortex. The present study investigated whether early error monitoring processes are sensitive only to the expectancy of errors, or whether these processes also evaluate the significance of errors.
Martin E. Maier, Marco Steinhauser
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Violations of outcome expectancies have been proposed to account for error-related brain activity in the medial prefrontal cortex. The present study investigated whether early error monitoring processes are sensitive only to the expectancy of errors, or whether these processes also evaluate the significance of errors.
Martin E. Maier, Marco Steinhauser
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Statistics & Probability Letters, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Park, Heungsun, Stefanski, L. A.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Park, Heungsun, Stefanski, L. A.
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