Results 11 to 20 of about 25,690,211 (296)

On analysis error covariances in variational data assimilation [PDF]

open access: yes, 2008
The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition function (analysis).
Shutyaev, V.   +2 more
core   +4 more sources

Error Analysis and the Role of Morphology [PDF]

open access: yesProceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
We evaluate two common conjectures in error analysis of NLP models: (i) Morphology is predictive of errors; and (ii) the importance of morphology increases with the morphological complexity of a language. We show across four different tasks and up to 57 languages that of these conjectures, somewhat surprisingly, only (i) is true.
Bollmann, Marcel, Søgaard, Anders
openaire   +4 more sources

Analysis of Numerical Errors [PDF]

open access: yesSSRN Electronic Journal, 2012
Abstract This paper provides a general framework for the quantitative analysis of stochastic dynamic models. We review the convergence properties of some numerical algorithms and available methods to bound approximation errors. We then address the convergence and accuracy properties of the simulated moments.
Manuel S. Santos, Adrian Peralta-Alva
openaire   +2 more sources

Analysis of Error Dependencies on Newhope [PDF]

open access: yesIEEE Access, 2020
The full citation to the IEEE published work with a Digital Object Identifier (DOI) 10.1109/ACCESS.2020.2977607, 31 pages, 10 ...
Minki Song 0001   +5 more
openaire   +4 more sources

Error Analysis of Photometric Stereo with Near Quasi‐Point Lights

open access: yes, 2022
The shape recovery quality of photometric stereo is sensitive to complicated error factors under close range lighting of quasi‐point lights. However, the error performance of photometric stereo under this practical scenario is still obscure.
Zhao, Z.   +4 more
core   +1 more source

Error Refactor loss based on error analysis in image classification

open access: yesIET Computer Vision, 2022
The loss function is a criterion to evaluate the learning quality of a deep convolutional neural network, which represents the gap between prediction and ground truth.
Xiaoyu Yu   +5 more
doaj   +1 more source

Error file

open access: yes, 2023
<p>Error file</p ...
Error file, Error file
core   +1 more source

SPELLING ERROR ANALYSIS IN STUDENTS’ WRITING ENGLISH COMPOSITION

open access: yesGetsempena English Education Journal, 2020
This research has objective to find out the kind of spelling errors written by the students and to determine the most dominant kind of spelling error written by the students of STIE AAS Surakarta in the academic year 2017/2018.
Tira Nur Fitria
doaj   +1 more source

Analysis of the BFGS Method with Errors [PDF]

open access: yesSIAM Journal on Optimization, 2020
The classical convergence analysis of quasi-Newton methods assumes that the function and gradients employed at each iteration are exact. In this paper, we consider the case when there are (bounded) errors in both computations and establish conditions under which a slight modification of the BFGS algorithm with an Armijo-Wolfe line search converges to a
Yuchen Xie   +2 more
openaire   +4 more sources

Error Correction Model Analysis of Tobacco Consumption in Kosovo

open access: yesTobacco Prevention and Cessation, 2019
Information for cigarette consumption during the time period 2005-2017, was utilized to assess the price and income elasticity effects on smoking intensity in Kosovo.
Jeta Statovci
doaj   +1 more source

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