Sentence examples for minimizes prediction error from inspiring English sources

In theory, the model that is best according to AIC is the one that minimizes prediction error ; and this is also true for a mixed effects model when predicting data for individuals for which no data have been obtained so far.

If AIC minimizes prediction error by using a factor of two (times the number of parameters), any other factor related to using BIC will increase prediction error - we have added a few more comments on this.

In the situation that the correct model set belongs to the set of evaluated models, a selection criterion that both finds the correct model and minimizes prediction error would be preferable - but Yang concluded that this may not be possible.

Here we investigate whether systems that minimize prediction error e.g. predictive coding, can also show creativity, or on the contrary, prediction error minimization unqualifies for the design of systems that respond in creative ways to non-recurrent problems.

The brain attempts to minimize prediction error (the component of the input that is not predicted by the brain's current model).

Minimizing prediction error, in other words, was much bigger than it sounded.

Free energy, as Friston defined it, was roughly equivalent to what Clark called prediction error; and the brain's need to minimize free energy, or minimize prediction error, Friston believed, drove everything the brain did.

Furthermore, the account successfully overcomes the "dark-room" problem, explaining why we do not avoid stimulation to minimize prediction error.

When the brain strove to minimize prediction error, it was not just trying to reduce its uncertainty about what was going on in the world; it was struggling to resolve the contradictions between fantasy and reality ideally by making reality more like fantasy.

This is then aggregated with the first to minimize prediction error for the labeled instances in the target.

Irrespective of the smearing factor used, its value in minimizing prediction error depends crucially on the presence and nature of heteroskedasticity in the log scale residuals.