Robust regression with MM-estimator for modelling the number maternal mortality of pregnancy in Central Java, Indonesia Regression is a method of statistics analysis for modeling between the dependent variable to independent variables. Estimation in the regression model uses the Ordinary Least Square (OLS...
BugSwarm is a relatively new benchmark that currently consists of over 3000 bug fixes in open-source Java and Python projects. BugSwarm is continually populated by mining GitHub and TravisCI to find regression fixes. In our dataset, we observe that tests are rarely provided with bug fixes and...
Anomaly-based An anomaly detection approach in [16] is presented using logistic regression for chaotic in-variants, i.e., correlation dimensions, entropy, etc., which are intrinsically non-linear features. According to the authors, these properties produce highly discriminating attributes that machine ...
主要本要针对特征匹配问题,提出了一个简单的基于统计的解决方法,可以快速区分出正确的匹配和错误的匹配,提高了匹配的稳定性。 首先来个直观的特征匹配图示 特征匹配是计算机视觉里一个基础性问题,对于特征匹配当前主要的问题在 robust 的匹配速度慢,快的匹配经常不稳定。 there is a wide performance gap between slow...
Forecasting the exchange rate with multiple linear regression and heavy ordered weighted average operators Knowl.-Based Syst., 248 (2022), Article 108863, 10.1016/j.knosys.2022.108863 URL https://www.sciencedirect.com/science/article/pii/S0950705122004129 View PDFView articleView in ScopusGoogle Schola...
(P < 0.05). For individual microbial features, metabolites, and clinical parameters, we firstly checked whether species and metabolites were associated using a linear model using the lm function (P < 0.05) from the R package stats (v3.6.3). Next, we conducted mediation analysis ...
monitoring site in Cork Harbour, Ireland, comparing eight widely used ML algorithms Decision Tree (DT), Extra Tree (ExT), Extreme Gradient Boosting (XGB), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Linear Regression (LR), and Gaussian Naïve Bayes (GNB)...
Saab SS, Saab KK (2019) Shuffled linear regression with erroneous observations. In: 2019 53rd Annual Conference on Information Sciences and Systems (CISS), pp. 1–6. IEEE Kassis MT, Tannir D, Toukhtarian R, Khazaka R (2019) Moments-based sensitivity analysis of x-parameters with respect ...
1 Introduction 1 1.1 Classical and robust approaches to statistics 1 1.2 Mean and standard deviation 2 1.3 The “three-sigma edit” rule 5 1.4 Linear regression 7 1.4.1 Straight-line regression 7 1.4.2 Multiple linear regression 9 1.5 Correlation coefficients 11 1.6 Other parametric models 13 ...
The projections may be determined based on linear regression, curve fitting or any number of modeling and projection techniques. Using the projection, the system can intelligently and timely respond to activity system-wide, even if the replication delay is large, and make decisions accordingly (...