Results 71 to 80 of about 659,747 (309)
An Ensemble Regression Approach For OCR Error Correction [PDF]
, 2017 This thesis deals with the problem of error correction for Optical Character Recognation (OCR) generated text, or OCR-postprocessing: how to detect error words in a text generated from OCR process and to suggest the most appropriate candidates to correct
Mei, Jie
core
Nonlinear Cointegration and Nonlinear Error Correction: Record Counting Cointegration Tests [PDF]
, 2006 In this article we propose a record counting cointegration (RCC) test that is robust to nonlinearities and certain types of structural breaks. The RCC test is based on the synchronicity property of the jumps (new records) of cointegrated series, counting
Sipols, Ana E. +2 more
core +1 more source
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Scientific ReportsThe post-processing of quantum key distribution mainly includes error correction and privacy amplification. The error correction algorithms and privacy amplification methods used in the existing quantum key distribution are completely unrelated. Based on
Lei Chen, Xiao-Ming Chen, Ya-Long Yan
doaj +1 more source
Error Correction for Semi-Supervised Classification Based on Fix Match [PDF]
ITM Web of ConferencesSemi-supervised learning (SSL) leverages unlabeled data to support model training, thereby improving model accuracy. However, most existing SSL methods rely heavily on unlabeled data for model correction while often overlooking the potential error ...
Zhang Ziqian
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Error Correction by Structural Simplicity: Correcting Samplable Additive Errors [PDF]
The Computer Journal, 2018 Abstract This paper explores the possibilities and limitations of error correction by the structural simplicity of error mechanisms. Specifically, we consider channel models, called samplable additive channels, in which (i) errors are efficiently sampled without the knowledge of the coding scheme or the transmitted codeword; (ii) the ...
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Error-correction-based cointegration tests for panel data [PDF]
, 2008 This article describes a new Stata command called xtwest, which implements the four error-correction-based panel cointegration tests developed by Westerlund (2007).
Joakim Westerlund (13076607) +1 more
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Discover Applied SciencesIn response to the problem of poor imaging quality caused by amplitude and phase errors in synthetic aperture imaging, this study develops an aperture radar-assisted technology based on an array of mathematical models and statistical characteristic ...
Ji Yang, Ying Fan, Shuqing Yang
doaj +1 more source