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Sex and Prediction Error, Part 3: Provoking Prediction Error
Journal of the American Psychoanalytic Association, 2021In parts 1 and 2 of this Lacanian neuropsychoanalytic series, surplus prediction error was presented as a neural correlate of the Lacanian concept of jouissance. Affective consciousness (a key source of prediction error in the brain) impels the work of cognition, the predictive work of explaining what is foreign and surprising.
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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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Prediction Error and Memory Reactivation: How Incomplete Reminders Drive Reconsolidation.
Trends in Neurosciences, 2019Memories are readily distorted. What conditions allow memories to be altered? Converging evidence implicates prediction error, or surprise, as a key mechanism that renders memories malleable.
Alyssa H. Sinclair, Morgan D. Barense
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Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy
, 2021The accurate prediction of wind speed is important in satisfying the demands of power grids. However, the prediction of wind speed is challenging because of its randomness and volatility, especially in multi-step cases.
Weifeng Xu +6 more
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IEEE Transactions on Industrial Informatics, 2022
Currently, it is a challenging issue to predict the thermal-induced time-varying error for the movement axis of the computer numerical control (CNC) machine tool.
Kuo Liu +4 more
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Currently, it is a challenging issue to predict the thermal-induced time-varying error for the movement axis of the computer numerical control (CNC) machine tool.
Kuo Liu +4 more
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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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Reversible data hiding using multi-pass pixel-value-ordering and pairwise prediction-error expansion
Information Sciences, 2018Pixel value ordering (PVO) prediction can achieve remarkable accuracy and thus provide a rather sharp histogram. In addition, the efficiency in histogram manipulation also attracts much attention in recent works.
Wenguang He +4 more
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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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