A couple of problems we have to solve in QSAR modeling: the first is related to the selection of the most relevant descriptors, and the second is the generation of the most reliable models. Contrary to other methods, our procedure, which is based on multiregression (MR) analysis, solves ...
8.Using Double Logistic Regression to Improve Discriminant Efficiency;利用Logistic二次回归法提高判别分析效率 9.The Establishment and Evaluation of Logistic Regression Analysis Model in Excel;应用Excel完成logistic回归分析及其评价 10.Application of Logistic Model to Discriminant Analysis;Logistic回归模型在判别分...
By Property 0 ofLeast Squares in Multiple Regression, the sample covariance matrix can be expressed by the matrix equation whereX̄is the 1 ×krow vector of sample means. Also, the correlation matrix can be expressed as whereD= the 1 ×krow vector of sample standard deviations. Example Exam...
To make a parallel with linear regression, the interactions are equivalent to the products between the continuous explanatory values, although here obtaining interactions requires nothing more than simple multiplication between two variables. However, the notation used to represent the interaction between fa...
3. To acquire the regression equation for chemical experiment data with Excel; 用Excel求取化工数据组回归方程 更多例句>> 3) return [英][rɪ'tɜ:n] [美][rɪ'tɝn] 回归 1. Discussion of the return of Traditional Culture in Modern Chinese Style Furniture Design; 浅议现代中式家具...
For example, the sparse DM regression identifies covariates associated with the microbiome composition by modeling the taxa using DM distribution, which allows for overdispersion [52]. A general framework that incorporates taxonomic information into the model was recently developed [56]. The excessive ...
2020) uses a large number of random convolution kernels in conjunction with a linear classifier (ridge regression or logistic regression). Every kernel is applied to each instance. From the resulting feature maps, the maximum value and a novel feature, proportion of positive values (ppv), is ...
In this work, several python scripts were developed in-house with purposes of data importation, handling and plotting, statistical and multivariate analysis, and machine learning regression. The scripts are available for consultation. Description for the scripts File - Description scrip_ML_PTax.py -...
With the increasing demand for digital products, processes and services the research area of automatic detection of signal outliers in streaming data has g
Zhang, Y.et al.Data regression framework for time series data with extreme events. in:2021 IEEE International Conference on Big Data (Big Data), pp. 5327–5336,https://doi.org/10.1109/BigData52589.2021.9671387(2021). Shih, S.-Y., Sun, F.-K. & Lee, H.-Y. Temporal pattern attention...