Sentence examples for based on multivariate regression from inspiring English sources

For the second category, the development of classifier design, we make a survey on various classification algorithms used in existing blind detection methods, and detail the algorithms behind several classifiers based on multivariate regression analysis, OC-SVM, ANN, CIS and Hyper-geometric structure.

Fourth, we propose a method based on multivariate regression to decrease the estimation errors of the number of locked on and off devices with lockout constraints, compared to [12].

When past history of COPD was also added to the combined model (scoring +4 based on multivariate regression), the AUC increased to 0.79.

Hackett et al. (2001) present a review and an interval-mapping method based on multivariate regression.

Based on multivariate regression analysis, social support was not associated with HRQOL nor physical and psychosocial health scores in our study.

Following the final ranking phase based on multivariate regression, the pared locus classifications included nine candidate loci putatively under selection in the coastal lineage and 22 candidates in the inland lineage (Table 2).

The proposed method might be applied also at the end of the chain, i.e., on the demosaiced R G B bands, because estimation methods based on multivariate regressions, as those used in the present context, are insensitive of the spatial correlation of the noise[3] introduced by interpolation.

Using the corresponding atmospheric transparency index, three models based on multivariate linear regression, non-linear regression and generation of fuzzy inference systems, respectively, were designed.

The automated SNP selection methods consider each trait A in isolation from the other traits when defining a preliminary genetic marker set (denoted by M' A ). Toward this end, the user can choose 1) a greedy approach based on univariate linear regression models, 2) a forward-stepwise approach based on multivariate linear regression models, or 3) both.

Based on multivariate logistic regression analysis, the software computes the likelihood of at least one hospitalization (LOH) for each individual within the next 12 months (2010).

The CFR techniques used in both of the two reconstructions are based on multivariate linear regression approaches, which are based on calibrating proxy records against instrumental data12,13,14,15,16,17.