The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

The example shows the benefits of linear regression; that is, you are using a single line that you draw through the plot points. The line might go up or down, ...

Learn how to detect outliers, how they impact your regression coefficients, and how to trim or winsorize them. Compare the pros and cons of each method.

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

A quasi-Bayes linear regression (QBLR) algorithm is developed to execute the sequential adaptation where the regression matrix is estimated using QB theory. In the estimation, we specify the prior ...

To address this issue, we proposed piece-wise non-linear regression tree (PS-Tree), an automated piece-wise non-linear regression method based on decision tree and genetic programming techniques.

The linear model is a modelling workhorse for data analyses commonly referred to in the social and behavioural sciences as regression analysis and is an essential building block towards more advanced ...