Results 41 to 50 of about 6,561,703 (356)
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors [PDF]
Today's scientific simulations require a significant reduction of data volume because of extremely large amounts of data they produce and the limited I/O bandwidth and storage space.
Xin Liang +11 more
semanticscholar +1 more source
Reversible data hiding algorithm based on asymmetric histogram shifting
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
Computational intelligence model based on GA-BP neural network [PDF]
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
The Feedback-Related Negativity Signals Salience Prediction Errors, Not Reward Prediction Errors [PDF]
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
A dual role for prediction error in associative learning [PDF]
Confronted with a rich sensory environment, the brain must learn statistical regularities across sensory domains to construct causal models of the world.
Friston, K J +10 more
core +1 more source
Prediction error induced motor contagions in human behaviors
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
Error Prediction with Partial Feedback [PDF]
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
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: From Prediction Error To Psychotherapy
Dopamine, one of the main neurotransmitters in the mammalian brain, has been implicated in the coding of prediction errors that govern reward learning as well as fear extinction learning. Psychotherapy too can be viewed as a form of error-based learning,
S. Papalini, T. Beckers, B. Vervliet
semanticscholar +1 more source
Dopamine reward prediction-error signalling: a two-component response
Environmental stimuli and objects, including rewards, are often processed sequentially in the brain. Recent work suggests that the phasic dopamine reward prediction-error response follows a similar sequential pattern.
W. Schultz
semanticscholar +1 more source

