Translation of "Modellanpassung" in English

Prediction within the range of values in the dataset used for model-fitting is known informally as interpolation.

As a result of the model matching, points erroneously or falsely assigned to a cluster can be identified and eliminated.

This improves convergence properties of the model matching.

An advantageous embodiment variant of the image processing apparatus therefore remains an intraoperative model adaptation in real time.

Compare the effect of boosting on neural model fits.

Figure 3.79 shows the model fit and other summary information for each regression.

A further problem relating to model matching is existing imprecision of the match.

The attention map now is taken into account in a supporting role in the clustering method and/or in the model matching.

It is noticeable that the Peli Case 1510 had a similar model fit.

If the numbers of fish surviving in each tank are unequal, then the process of model fitting, whether simple or non-linear, should be weighted to allow for unequal sizes of groups.

Outside the six training areas intended to benefit from the notified State aid are the training areas ‘Apprentices’ (namely an apprenticeship scheme for young people), ‘Model Change’ (which is the training needed to adapt to the production of the Global Model Vehicle) and activities related to ‘Training & Performance Appraisal’.

The method of fitting the model must enable an estimate of, for example, the EC20 and of its dispersion (either standard error or confidence interval) to be derived.

In order to reduce the effect of these influences, a process will be proposed below which makes it possible to correct particular variables which have an influence on the model calculation, in such a way that accuracy-enhancing model adaptation can be carried out for steady and unsteady engine operation.

FIG. 4 shows in a series of graphs the dependence of the simulated course of the PEG-hirudin plasma concentration for a representative clinical patient on the number of measurement times included in the fitting to a model (mean course plus 95% tolerance interval).

In the first simulation, only the first measurement, which took place half an hour after the start of the PEG-hirudin infusion, was included in the fitting to the model and, on this basis, the future course of the PEG-hirudin concentration in this patient was forecast.

Also the parameter values used for model adaptation are determined by means of the second training vocabulary corpus so as to minimize the processing effort.

Harnessing these techniques is as easy as using any other modeling personality in Fit Model – simply identify your response, construct model effects and pick the desired estimation and validation method.

And for the first time, developers can update machine learning models on-device using model personalization.

Following the clustering, model matching takes place, with at least one object model being superimposed on at least one cluster and an optimum position of the object model with respect to the cluster being determined.

The clustering method S 2 and/or model matching S 3 steps are supported by a probability map AM, which is referred to in the following text as an attention map AM in line with the convention of the literature.

Good initialization of the model matching additionally avoids the problem of local minima, which can lead to a suboptimal match.

The valve model and the friction model may be adjusted automatically using a model adjustment 44 during the course of the regulation.

If, on account of the advance of the operation, an object is missing in the real model, the corresponding object is removed from the virtual model (intraoperative model adaptation).

After the model adaptation was performed for each corner point in the current image, the count of all entries of the model is reduced.

In case of being interested in this utility of statistical adjustment, please let us know by sending an email to one of this two addresses: [email protected] or [email protected].