Übersetzung für "Squared error" in Deutsch

That is why it is the sum of squared error terms that must be minimized.

Grading methods shall be authorised only if the root mean squared error of prediction (RMSEP), computed by a full cross-validation technique, is less than 2,5.

Grading methods shall be authorised only if the root mean squared error of prediction (RMSEP), computed by a full cross-validation technique or by a test set validation on a representative sample of at least 60 carcases, is less than 2,5.

Alternatively, if the classification problem can be phrased as probabilistic classification, then the expected squared error of the predicted probabilities with respect to the true probabilities can be decomposed as before.

The method according to claim 1, wherein said second scalar quantizing comprises the step of selecting that vector in the code book which represents the input vector having the smallest mean squared error by selecting the code book vector for which the span width of the elements of the difference vector is the minimum.

As indicated, this relation corresponds to the principle of maximum likelihood sequence estimation (MLSE) with interference with Gaussian distribution and generally minimizes the minimum mean squared error (MMSE) with optimum selection of the reference x(t).

This can be accomplished, for example, by comparing the temporally averaged squared error signals of the two blind equalizer algorithms in the sub-channels.

By means of MSE (mean squared error) or MAE (mean absolute error), within the search zone, the 8×8 block with the highest correlation is determined and from the spatial position of the latter, compared to the block from the current image, the respective movement vector is determined.

The vector of the quantized difference of the structure coefficients is subjected to a vector quantizing by means of the vector quantizer 9 wherein a vector for the input vector is sought from a code book, as an entry in this code book which represents the input vector with the minimum, mean squared error.

The mean squared error, or alternatively but with a considerably poorer result, the mean error quantity of the vector elements of the input vector and of the representative vector, are usually employed for searching a representative vector in the code book.

And over the next few videos, is I want to find the m and b that minimizes the squared error of this line right here.

This trained autoencoder model can now identify anomalies or outlier instances based on the reconstruction mean squared error (MSE): transactions with a high MSE are outliers compared to the global pattern of our data.

Netflix could just have a computer compare the predicted ratings with the held-out ratings using a prespecified metric (the particular metric they used was the square root of the mean squared error).

This can be determined by means of an appropriate abort criterion, for example a maximum quantity of training data or a threshold value below which the mean squared model error must be in the target output range.

The vehicle model unit may be designed such that it uses for calculation a least square error method for solving an overdetermined system of equations, in particular as a least squared error method.

It is especially preferred for the vehicle model unit to be designed such that it uses for calculation a least square error method for solving an overdetermined system of equations, in particular as a least squared error method.

The measured points transformed into the workpiece coordinate system KW are thus fitted in the target geometry (nominal aspheric design) given by equation (3) in such a manner that the mean squared error between the z-coordinate of the fitted in points and the z-value zasp of the target geometry at the allocated locations x, y of the fitted-in measured points is minimal.

Those pairs of values consisting of a known wavelength and pixel number of the respective peak must be determined in this manner for each of several peaks which form the design points for a fitting for example to a polynomial of the 3 rd degree according to the least squared error method.

This procedure is based on the findings that for the identified detail-irrelevant textures, common objective quality criteria such as the mean squared error (MSE) are not suitable for efficient encoding, since under certain circumstances, irrelevant details may be transmitted and reconstructed.

In this context, the maximum-likelihood estimation is based upon a maximisation of the likelihood function, which, via an inverse exponential function, minimizes the modulus error squared between the measured, noise-contaminated received signal and a model, ideal, noise-free transmission signal containing the desired timing offset over an observation period.

The desired timing offset is obtained, when the model transmission signal approximates the measured receiver signal with minimal modulus error squared.