Sentence examples for linear regression implementation from inspiring English sources

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

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

Our MapReduce implementation for linear regression validation and correlation computation is a map-only program.

A linear modelling tool, an implementation of linear regression modelling, allows analysis of several variables at the same time.

The statistical models selected are Relevance Vector Machine (RVM), an implementation of Sparse Bayesian Learning, and the Automated Statistical Downscaling tool (ASD), an implementation of Multiple Linear Regression.

They offer implementations for Linear Regression and Isotonic Regression, and one collaborative filtering algorithm using Alternating Least Squares.

All standard techniques, including hierarchical clustering (HC), principal components analysis (PCA), Pearson correlation and linear regression, were used in their implementations from Matlab (2007b, The Mathworks and Matlab Statistics Toolbox).

In December 2014, Maxeler developed a dataflow implementation of the linear regression algorithm by parallelizing calculations using DFEs (application icon is given in Fig. 44).

After implementation, we used linear regression to examine quarterly trends and calculated diagnostic yield.

Figure 3(a) shows the execution times of linear regression validation for each pair of genes by using the Hadoop MapReduce implementation and the sequential Java implementation, given different numbers of genes.

The implementation "lm" of the linear regression (LR) is already contained within the core of R. Regression methods infer prediction models from a given set of training data.