The training data are used to estimate the model parameters.

From an initial reference structure a set of trial structures is created by varying the model parameters.

Information is also a function of the model parameters.

On the other hand, it is well known that team skills change during the season, making model parameters time-dependent.

An example for the former would be where model parameters are tuned using field data.

Information of a statistic on model parameters can be defined in several ways.

After this time the university can publish the model parameters.

A big disadvantage of the group interaction model is the need for many more model parameters.

The task of learning the model parameters is accomplished by expectation maximization.

Only a few physical systems are actually linear with respect to the model parameters.