The proposed method uses Quality of Service (QoS) attributes from a side, and reputation values of similar services from the second side, to estimate the reputation values of newcomer services. Basically, it employs regression models, including Support Vector Regression, in the estimation process of...
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications Fairness in artificial intelligence and machine learning (AI/ML) models is becoming critically important, especially as decisions made by these systems imp... N Pham,MK Do,TV Dai...
We use the lasso as a regression method with subset selection (for both the ‘average’ and the ‘smoothing’ type); the predictors are selected by including anℓ1penalty on the vector of regression weights during the loss minimization, which effectively sets many of the weights to zero54. ...
are not included in this classification, e.g., frequent graph mining methods [33,34], approaches for mining frequent tree-like patterns [35], mining frequent movement patterns for a mobile user [36], and mining web usage data [37], because they are not related to the proposed method. A...
In Chapter 3, I present a novel method, Poisson pairwise difference method (PPDM), which efficiently co-estimates the selection coefficient and mutation rate from arbitrarily correlated SFS data. We demonstrate that the PPDM log-likelihood ratio test has good power to detect positive selection and...
Regression-Based Interpretation Method for Confined Aquifer Pumping Tests The constant-discharge pumping test is a widely used aquifer characterization tool for estimating hydrogeological parameters. Various graphical and numeric... E Ifti,AU Sahin - 《Journal of Hydrologic Engineering》 被引量: 0发表:...
Genomic control (GC) method is a useful tool to correct for the cryptic relatedness in population-based association studies. It was originally proposed for correcting for the variance inflation of Cochran-Armitage's additive trend test by using informati
The RSM is a method for analyzing the results of experiments. Calculating the R2, R2 adjusted, and R2 predicted quantity determined the model’s significance level. The calculated F-quantity is used to determine the influence of the factors on the measured results. The greater the F-quantity ...
Specifies the method that will be used to create the model. Forest-based—A model will be created using an adaptation of the random forest algorithm. The model will use the votes from hundreds of decisions trees. Each decision tree will be created from a randomly generated subset of the o...
关键词: Dynamic asset pricing Fama-MacBeth regressions Time-varying betas Generalized method of moments Minimum distance estimation Reduced rank regression DOI: 10.2139/ssrn.1837531 被引量: 88 年份: 2011 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 Elsevier 掌桥科研 Semantic Scholar (...