Automated Essay Scoring Effect on Test Equating Errors in Mixed-format Test by Nuri Doğan, İbrahim Uysal

“…In most of the equating methods, errors of the equating resulting from automated scoring were close to the errors occurring in equating processes conducted by human raters. …”
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An Extension of the Quadratic Error Function for Learning Imprecise Data in Multivariate Nonlinear Regression by Castro Gbêmêmali Hounmenou, Kossi Essona Gneyou, Romain Glélé Kakaï

“…The simulation study and application case on real datasets conducted and based on multilayer perceptron neural networks (MLP) with bivariate continuous response and asymmetric revealed a significant gain in precision using the new quadratic error function for these types of data rather than using a classical generalized least squares error function having any covariance matrix.…”
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Modifying Covariance Localization to Mitigate Sampling Errors from the Ensemble Data Assimilation by Mingheng Chang, Hongchao Zuo, Jikai Duan

“…., 10,000 members) to identify relevant error covariance at great distances for multidimensional geophysical systems. …”
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LABOUR MARKET IN UKRAINE: AN EMPIRICAL DYNAMIC ANALYSIS USING ERROR CORRECTION MODEL by I. Lukyanenko, M. Oliskevych

“…As a result of empirical research on relationships between the macroeconomic indicators of the labor market in Ukraine, we developed a set of dynamic econometric models using an error-correction mechanism which take into account the long-run equilibrium relationships, as well as provide an opportunity to model the short-term effects of several factors such as the rate of change of wages, size of the labor force, employment and unemployment. …”
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Instrumental Variable Method for Regularized Estimation in Generalized Linear Measurement Error Models by Lin Xue, Liqun Wang

“…It is well known that in a low-dimensional regression model if some covariates are measured with error, then the naive estimators that ignore the measurement error are biased and inconsistent. …”
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Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…This method has significant advantages in reducing errors, adapting to different terrain targets, and providing stable and high-precision output, which shows its application potential and superiority in the field of underwater target detection, and provides a more effective and reliable technical solution for underwater target detection.…”
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Effect of Sample Size on Sound Velocity Measurement Error by Pulse Transmission Method by LI Jiahui, CHEN Dehua, HE Xiao, ZHANG Xiumei

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Pre-Amplification of Cell-Free DNA: Balancing Amplification Errors with Enhanced Sensitivity by Wei Yen Chan, Ashleigh Stewart, Russell J. Diefenbach, Elin S. Gray, Jenny H. Lee, Richard A. Scolyer, Georgina V. Long, Helen Rizos

“…This study evaluated the clinical value and application of cell-free DNA (cfDNA) pre-amplification. cfDNA amplification with TOP-PCR preserved DNA size profiles and resulted in a 22 bp size increase due to the half-adaptor ligation. …”
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A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging by Jian Lin, Qiurong Yan, Quan Zou, Shida Sun, Zhen Wei, Hua Du

“…We employ multiple latent variables to generate error features at different scales in the intermediate layers of the error compensation network, compensating the reconstructed image. …”
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Analysis of power–accuracy trade‐off in digital signal processing applications using low‐power approximate adders by Celia Dharmaraj, Vinita Vasudevan, Nitin Chandrachoodan

“…Abstract In recent years, approximate circuit design targeting the error‐tolerant applications has gained significance. …”
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On the Full-Rate Linear Complexity 2Ã2 Space-Time Block Code: Application in Keyhole Channels by S.Saleh Hosseini Bidaki, Behrouz Bagheri Ranjbar, Siamak Talebi

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Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling by Xinling Liu, Jingyao Hou

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Error concealment algorithm for entire frame loss based on optical flow estimation by CAO Ning, HU Jian-rong, MA Yin-song

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Error concealment algorithm for entire frame loss based on optical flow estimation by CAO Ning, HU Jian-rong, MA Yin-song

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CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores by Jiajia Jiao, Libao Wang, Yanxiang Li, Dezhi Han, Min Yao, Kuan-Ching Li, Hai Jiang

“…As there are significant opportunities to mitigate the soft error impacts through heterogeneous multicore scheduling, we show in this paper that the correlation among multiple applications exhibits important reliability characteristics, by defining a new metric to measure the system-level vulnerability factor of multiple applications and an approximate estimator to evaluate the metric fast and accurately for effective scheduling decisions. …”
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Implementation of SOLO taxonomy and Newman error analysis in first-order differential equation by Yarman Yarman, Dewi Murni, Fridgo Tasman

“…The results showed that there were five errors in solving first-order ODE made by students, namely Reading Errors (RE), Comprehension Errors (CE), Transformation Errors (TE), Process Skill Errors (PE), and Encoding Errors (EE). …”
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Error Bounds for lp-Norm Multiple Kernel Learning with Least Square Loss by Shao-Gao Lv, Jin-De Zhu

“…Specially, by imposing an lp-norm penalty on the kernel combination coefficient, multiple kernel learning (MKL) was proved useful and effective for theoretical analysis and practical applications (Kloft et al., 2009, 2011). In this paper, we present a theoretical analysis on the approximation error and learning ability of the lp-norm MKL. …”
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Stochastic Estimation of MIMO Detection Error Caused by Low-Bitwidth QR Decomposition by Alexander Osinsky, Roman Bychkov, Mikhail Kirichenko, Vladimir Lyashev, Andrey Ivanov

“…The suggested method can be used to examine the roundoff error in many other applications that require matrix inverse operations.…”
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An Improved Pose Estimation Method Based on Projection Vector With Noise Error Uncertainty by Jiashan Cui, Changwan Min, Xiangyun Bai, Jiarui Cui

“…The results show that the proposed method has good robustness and convergence while adapting to different degrees of error uncertainty, which can meet practical engineering applications.…”
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Bayesian robust symmetric regression for medical data with heavy-tailed errors and censoring. by Mehmet Ali Cengiz, Talat Şenel, Muhammed Kara

“…Bayesian symmetric regression offers a principled framework for modeling data characterized by heavy-tailed errors and censoring, both of which are frequently encountered in medical research. …”
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