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1. Encoding of error and learning to correct that error by the Purkinje cells of the cerebellum

   https://doi.org/10.1038/s41593-018-0136-y  

   Herzfeld, David J. ; Kojima, Yoshiko ; Soetedjo, Robijanto ; Shadmehr, Reza ( May 2018 , Nature Neuroscience)
2. Language control in bilingual production: Insights from error rate and error type in sentence production

   https://doi.org/10.1017/S1366728920000590  

   Martin, Clara D. ; Nozari, Nazbanou ( March 2021 , Bilingualism: Language and Cognition)

   Abstract Most research showing that cognates are named faster than non-cognates has focused on isolated word production which might not realistically reflect cognitive demands in sentence production. Here, we explored whether cognates elicit interference by examining error rates during sentence production, and how this interference is resolved by language control mechanisms. Twenty highly proficient Spanish–English bilinguals described visual scenes with sentence structures ‘NP1-verb-NP2’ (NP = noun-phrase). Half the nouns and half the verbs were cognates and two manipulations created high control demands. Both situations that demanded higher inhibitory control pushed the cognate effect from facilitation towards interference. These findings suggest that cognates, similar to phonologically similar words within a language, can induce not only facilitation but robust interference. 

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3. Comparison of parameter conditioning in output error and equation error approaches in speed and parameter estimation in induction machines

   https://doi.org/10.1109/IEMDC.2001.939282  

   Velez-Reyes, M. ; Ramos-Torres, J. ( June 2001 , 2001 IEEE International Electric Machines and Drives Conference (IEMDC))

   Equation error and output error are common formulations used in speed and parameter estimation for induction machines. This paper presents a study of the quality of the estimated speed and parameters using local sensitivity analysis. We studied parameter conditioning as a function of input signals and estimation methodology at nominal speed. Simulation results are used to show that output error formulation is better conditioned than equation error for speed and parameter estimation using PWM and six-step voltage inputs. 

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4. Statistical binning leads to profound model violation due to gene tree error incurred by trying to avoid gene tree error

   https://doi.org/10.1016/j.ympev.2019.02.012  

   Adams, Richard H. ; Castoe, Todd A. ( May 2019 , Molecular Phylogenetics and Evolution)
5. Error messages are classifiers: a process to design and evaluate error messages

   https://doi.org/10.1145/3133850.3133862  

   Wrenn, John ; Krishnamurthi, Shriram ( January 2017 , International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software)

   This paper presents a lightweight process to guide error report authoring. We take the perspective that error reports are really classifiers of program information. They should therefore be subjected to the same measures as other classifiers (e.g., precision and recall). We formalize this perspective as a process for assessing error reports, describe our application of this process to an actual programming language, and present a preliminary study on the utility of the resulting error reports. 

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