Sentence examples for regression implementation from inspiring English sources

We developed an extension of the Gaussian Random Process Regression implementation in the fields R package for visualizing slices of multidimensional datasets and obtaining nonparametric surrogate models of experimental systems that can be used for optimization [14], [15].

The linear regression implementation from the stats R package was used.

The smoothing used a Poisson regression implementation of generalized additive model (GAM) [ 8].

All optimization problems (MDS1, MDS2, NMDS, PM1 and PM2) were solved using IPOPT, an interior point filter algorithm (Wächter and Biegler, 2006) and the isotonic regression implementation from the Python toolbox Scikit-Learn for NMDS (Pedregosa et al., 2011).

We have utilised the linear regression implementations in MATLAB and LibSVM (Chang and Lin 2011) implementation of the nonlinear SVM (support vector machine) regression.

Mean Multi-task Learning (Mean MTL): This is a logistic regression-based implementation of the multitask SVM model proposed by (Evgeniou and Pontil, 2004).

Generalized boosted regression is an implementation of expansion to Freund and Schapire's AdaBoost algorithm and J. Friedman's gradient boosting machine (Freund and Schapire 1997).

We describe regression discontinuity, its implementation, and the assumptions required for causal inference.

Even after multivariate regression analysis, bundle implementation was found to be independently associated with better outcome.

For all regression experiments, LIBSVM [39] implementation of ε-SVR was used.

Therefore, the prototype implementation defines regression functions for a subset of parameters of R (resource) and A (application), which are considered in this approach.