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 ...

The idea here is that the synthetic data does have an underlying, but complex, non-linear structure which can be predicted. All of the predictor values are between -1.0 and +1.0. There are 200 ...

For non-linear data it is necessary to first linearise it. This may be useful when dealing with acceleration due to gravity, as seen in the figures below, or for exponential decay. As shown in the ...

Examples include the data structures derived from the previously mentioned Employee, Vehicle, Array, and List ADTs. Many data structures are designed to describe various entities.