Sentence examples for regression distribution from inspiring English sources

Since SVR demonstrates better performance and runs much faster than wKNN and GBR, SVR is chosen as regression engine in this work.> -wrap-foot> weighted K-Nearest Neighbor, kernel = triangular, k = 19; Generalized Boosting Regression, distribution = Gaussian, n.trees = 1000, shrinkage = 0.05, interaction.depth = 3; best results are shown in bold.

In this study, we use LIBSVM (Chang and Lin 2011) (http://www.csie.ntu.edu.tw/~cjlin/libsvm), which is an integrated software package for support vector classification, regression, and distribution estimation.

Fetal weight histograms were constructed as described previously (12), and a nonlinear regression (Gaussian distribution) analysis was performed.

Logistic regression (binomial distribution) and Fisher's Exact tests were used to test for variation in squid behaviours among the three CO2 treatments.

When the associations between the probe log ratio values and a continuous body composition outcome were assessed using linear regression, the distribution of P values shown in Figure  3 was obtained; fewer P values ≤ 0.05 were obtained than would be expected by chance.

In Table 2, we listed regression coefficients, distributions (the number of different genes where motifs locate) and P values for each motif based on the random permutation, as well as the binary vector denoting whether a certain motif could be traced in the TRANSFAC database on its location genes.

The occurrence database was then used to train separate boosted regression tree species distribution models (Elith et al., 2008) to predict the likely distribution of each of these suspected reservoir species.

The procedure uses local distribution regression to estimate the marginal distributions of the potential outcomes.

The control law for developing optimal strategy are achieved by cluster regression for power distribution data.

In the present paper, a general allocation design is introduced which assumes no specific regression model or distribution of responses.

From the linear regression fit, the distribution of porosity in the reservoir in inline-228 is estimated (Fig. 3b).