Results 21 to 30 of about 561,529 (268)

Estimating Prediction Error: Cross-Validation vs. Accumulated Prediction Error [PDF]

open access: yesCommunications in Statistics - Simulation and Computation, 2010
We study the validation of prediction rules such as regression models and classification algorithms through two out-of-sample strategies, cross-validation and accumulated prediction error. We use the framework of Efron (1983) where measures of prediction errors are defined as sample averages of expected errors and show through exact finite sample ...
Jenny Häggström, Xavier de Luna
openaire   +1 more source

How common is a common error term? The rules that govern associative learning in sensory preconditioning and second-order conditioning

open access: yesFrontiers in Behavioral Neuroscience, 2022
In standard (first-order) Pavlovian conditioning protocols, pairings of an initially neutral conditioned stimulus (CS) and a biologically significant unconditioned stimulus (US) result in the formation of a CS-US association.
Travis P. Todd, Nathan M. Holmes
doaj   +1 more source

Errors in interception can be predicted from errors in perception [PDF]

open access: yesCortex, 2018
It has been hypothesised that our actions are less susceptible to visual illusions than our perceptual judgements because similar information is processed for perception and action in separate pathways. We test this hypothesis for subjects intercepting a moving object that appears to move at a different speed than its true speed due to an illusion. The
Cristina de la Malla   +2 more
openaire   +3 more sources

Reversible data hiding algorithm based on asymmetric histogram shifting

open access: yes网络与信息安全学报, 2019
The shifting of two asymmetric histograms in opposite directions in data embedding respectively had produced the pixel compensation and restore effect, a better reversible data hiding algorithm based on pixel prediction was proposed, two asymmetric ...
HE Yufen   +2 more
doaj   +1 more source

The Feedback-Related Negativity Signals Salience Prediction Errors, Not Reward Prediction Errors [PDF]

open access: yesThe Journal of Neuroscience, 2013
Modulations of the feedback-related negativity (FRN) event-related potential (ERP) have been suggested as a potential biomarker in psychopathology. A dominant theory about this signal contends that it reflects the operation of the neural system underlying reinforcement learning in humans.
Talmi, Deborah   +2 more
openaire   +2 more sources

Prediction error induced motor contagions in human behaviors

open access: yeseLife, 2018
Motor contagions refer to implicit effects on one's actions induced by observed actions. Motor contagions are believed to be induced simply by action observation and cause an observer's action to become similar to the action observed.
Tsuyoshi Ikegami   +3 more
doaj   +1 more source

Computational intelligence model based on GA-BP neural network [PDF]

open access: yesMATEC Web of Conferences, 2022
Since the birth of the secondary stock market, the prediction of the stock price trend has become a research direction concerned by many people.
Zhang Chengzhao
doaj   +1 more source

Error Prediction with Partial Feedback [PDF]

open access: yes, 2013
In this paper, we propose a probabilistic framework for predicting the root causes of errors in data processing pipelines made up of several components when we only have access to partial feedback; that is, we are aware when some error has occurred in one or more of the components, but we do not know which one.
Darling W.   +3 more
openaire   +1 more source

Preconditioned cues have no value

open access: yeseLife, 2017
Sensory preconditioning has been used to implicate midbrain dopamine in model-based learning, contradicting the view that dopamine transients reflect model-free value.
Melissa J Sharpe   +2 more
doaj   +1 more source

Dopamine, Prediction Error and Beyond [PDF]

open access: yesThe Neuroscientist, 2020
A large body of work has linked dopaminergic signaling to learning and reward processing. It stresses the role of dopamine in reward prediction error signaling, a key neural signal that allows us to learn from past experiences, and that facilitates optimal choice behavior.
Diederen, Kelly M. J., Fletcher, Paul C.
openaire   +4 more sources

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