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Tell me something I don’t know
eLife, 2016 The roles that neural oscillations play in the auditory cortex of the human brain are becoming clearer.
Jonas Obleser
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Surprise beyond prediction error [PDF]
Human Brain Mapping, 2014 AbstractSurprise drives learning. Various neural “prediction error” signals are believed to underpin surprise‐based reinforcement learning. Here, we report a surprise signal that reflects reinforcement learning but is neither un/signed reward prediction error (RPE) nor un/signed state prediction error (SPE).
Chumbley, Justin R +5 more
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Predicting the Signs of Forecast Errors [PDF]
SSRN Electronic Journal, 2008 AbstractThe signs of forecast errors can be predicted using the difference between individuals' forecasts and the average of earlier forecasts of the same variable. It is possible to improve forecasts without worsening any. It is difficult to reconcile this result with the rational expectations hypothesis because the average of earlier forecasts is in ...
Solferino, N, WALDMANN, ROBERT
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, 2005 This paper reports on the theoretical and empirical developments for an error prediction methodology called task analysis for error identification (TAFEI). Other researchers have noted the need for theoretically driven approaches that are able to provide
Baber, Christopher +4 more
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Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction [PDF]
, 2009 In biometric practice, researchers often apply a large number of different methods in a "trial-and-error" strategy to get as much as possible out of their data and, due to publication pressure or pressure from the consulting customer, present only the ...
Carolin Strobl +5 more
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Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation [PDF]
, 2011 High-dimensional binary classification tasks, e.g. the classification of microarray samples into normal and cancer tissues, usually involve a tuning parameter adjusting the complexity of the applied method to the examined data set.
Augustin, Thomas +2 more
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Nihon Kikai Gakkai ronbunshu, 2021 In this study, how to improve usability and quality of the remote participation experience using remote-controlled robots to support the active social participation of people who have mobility issues were investigated.
Takumi KAWAMURA, Yasutaka FUJIMOTO
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Impaired reward prediction error encoding and striatal-midbrain connectivity in depression
Neuropsychopharmacology, 2018 Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments) are core features of major depressive disorder (MDD), which could stem from abnormal reinforcement learning.
Poornima Kumar +7 more
semanticscholar +1 more source
Affective Valence Regulates Associative Competition in Pavlovian Conditioning
Frontiers in Behavioral Neuroscience, 2022 Evidence suggests that, in Pavlovian conditioning, associations form between conditioned stimuli and multiple components of the unconditioned stimulus (US).
Vincent Laurent +2 more
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The application of ANFIS prediction models for thermal error compensation on CNC machine tools
, 2015 Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Longstaff, Andrew P. +3 more
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