Results 1 to 10 of about 2,090,622 (295)

Prediction-error of Prediction Error (PPE)-based Reversible Data Hiding

open access: yes, 2016
There has no technical difference to previous versions, but rather some minor word corrections. A 2-page summary of this paper was accepted by ACM IH&MMSec'16 "Ongoing work session".
Wu, Han-Zhou   +2 more
openaire   +3 more sources

Does prediction error during exposure relate to clinical outcomes in cognitive behavior therapy for social anxiety disorder? A study protocol

open access: yesFrontiers in Psychiatry, 2022
Facing your fears, or exposure therapy, is an effective psychological intervention for anxiety disorders that is often thought to work through fear extinction learning. Fear extinction learning is a type of associative learning where fear reduces through
Christopher D. Winkler   +3 more
doaj   +1 more source

Non-invasive stimulation reveals ventromedial prefrontal cortex function in reward prediction and reward processing

open access: yesFrontiers in Neuroscience, 2023
IntroductionStudies suggest an involvement of the ventromedial prefrontal cortex (vmPFC) in reward prediction and processing, with reward-based learning relying on neural activity in response to unpredicted rewards or non-rewards (reward prediction error,
Maimu Alissa Rehbein   +18 more
doaj   +1 more source

Document similarity for error prediction

open access: yesJournal of Information and Telecommunication, 2021
In today's rushing world, there's an ever-increasing usage of networking equipment. These devices log their operations; however, there could be errors that result in the restart of the given device.
Péter Marjai   +2 more
doaj   +1 more source

The accuracy of intraocular lens power calculation formulas based on artificial intelligence in highly myopic eyes: a systematic review and network meta-analysis

open access: yesFrontiers in Public Health, 2023
ObjectiveTo systematically compare and rank the accuracy of AI-based intraocular lens (IOL) power calculation formulas and traditional IOL formulas in highly myopic eyes.MethodsWe screened PubMed, Web of Science, Embase, and Cochrane Library databases ...
Yi Zhou   +21 more
doaj   +1 more source

Limitations of the Yang’s breaking wave force formula and its improvement under a wider range of breaker conditions

open access: yesOpen Geosciences, 2022
Some commonly used empirical formulas (e.g., Soviet CHиПII57-75, Ikeno-Tanaka, Führböter-Sparboom, and Stanczak) for estimating plunging breaker wave slamming pressure on sea dike surface do not take into account the comprehensive influence of the wave ...
Yang Xing, Cai Kaixi
doaj   +1 more source

Quantitative and qualitative sex difference in habenula-induced inhibition of midbrain dopamine neurons in the rat

open access: yesFrontiers in Behavioral Neuroscience, 2023
IntroductionClinically relevant sex differences have been noted in a number of affective, behavioral, cognitive, and neurological health disorders. Midbrain dopamine neurons are implicated in several of these same disorders and consequently are under ...
Dana Bell   +2 more
doaj   +1 more source

Cerebellar control of fear learning via the cerebellar nuclei–Multiple pathways, multiple mechanisms?

open access: yesFrontiers in Systems Neuroscience, 2023
Fear learning is mediated by a large network of brain structures and the understanding of their roles and interactions is constantly progressing. There is a multitude of anatomical and behavioral evidence on the interconnection of the cerebellar nuclei ...
Julie D. Urrutia Desmaison   +5 more
doaj   +1 more source

Surprise! Why Insightful Solution Is Pleasurable

open access: yesJournal of Intelligence, 2022
Insight problems—as a type of ill-defined problems—are often solved without an articulate plan, and finding their solution is accompanied by the Aha! experience (positive feeling from suddenly finding a solution).
Anna Savinova, Sergei Korovkin
doaj   +1 more source

Nonparametric estimation of mean-squared prediction error in nested-error regression models [PDF]

open access: yes, 2005
Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage sample surveys, and in biology and econometrics.
Hall, Peter, Maiti, Tapabrata
core   +3 more sources

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