Results 121 to 130 of about 3,782,014 (296)
Prediction in measurement error models
We study the well known difficult problem of prediction in measurement error models. By targeting directly at the prediction interval instead of the point prediction, we construct a prediction interval by providing estimators of both the center and the length of the interval which achieves a pre-determined prediction level.
Jiang, Fei, Ma, Yanyuan
openaire +2 more sources
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]
Thermal errors can have significant effects on CNC machine tool accuracy. The errors usually come from thermal deformations of the machine elements created by heat sources within the machine structure or from ambient change.
Longstaff, Andrew P. +3 more
core +2 more sources
Human cerebellum and ventral tegmental area interact during extinction of learned fear
The key elements for fear extinction learning are unexpected omissions of expected aversive events, which are considered to be rewarding. Given its reception of reward information, we tested the hypothesis that the cerebellum contributes to reward-like ...
Enzo Nio +13 more
doaj +1 more source
PURPOSE: The purpose of this study is to compare the accuracy of new generation formulas to standard formulas for intraocular lens (IOL) power calculations in pediatric patients.
Fouad Raja an-Nakhli
doaj +1 more source
Wait for it: Predicted Error vs. Prediction Error in Language Processing
Poster presented at 2015 meeting of the Society for the Neurobiology of ...
Alday, Phillip M. +3 more
openaire +1 more source
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill +6 more
wiley +1 more source
The Application of ANN and ANFIS Prediction Models for Thermal Error Compensation on CNC Machine Tools [PDF]
Thermal errors can have significant effects on Computer Numerical Control (CNC) machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature ...
Abdulshahed, Ali
core +2 more sources
This systematic review aimed to evaluate the available evidence on methods used to predict mandibular autorotation after maxillary repositioning in orthognathic surgery. A systematic search of PubMed/MEDLINE, Cochrane Library, Scopus, Google Scholar, and
Andrii Hresko +3 more
doaj +1 more source
Predicting Errors in Concurrent Systems
Die Verbreitung von Multikernprozessoren hat die parallele Programmierung allgegenwärtig gemacht. Parallele Programmierung ist schwierig, da sie die Entwicklung auf Grund vielfacher Kontrollflüsse und Nicht-Determinismus fehleranfällig macht. Zusätzlich gibt es neue Arten von Fehlern, wie z.B. Wettläufe, Verklemmungen oder Reihenfolgeverletzung.
openaire +4 more sources

