Sentence examples for model weights are from inspiring English sources

Solid black line gives the fit of the weighted logistic regression, where model weights are given by the number of ferrets in each experiment.

Internal coefficients of neural model – weights – are adapted on-line according to the Levenberg Marquardt algorithm.

We combine Bayesian Model Averaging (BMA) with worth-of-data analysis and investigate how decisive the model weights are under different selections of data types.

It is shown that the estimates of model parameters, using the variance model weights, are less sensitive to random errors of measurements than those using modulus weights.

The variance model weights are compared with the modulus weights in the proposed procedure for elimination of outliers in which the residual deviations are compared with standard deviations estimated in accordance with the applied weighting scheme and the root-mean-square residual of the fit.

The visible and hidden layer biases are initialized with small random values, and the model weights are randomly chosen from positive values in the range [0,1].

The posterior probability distribution that is obtained from the prior F, data (x, y), model weights is the weighted sum: w1 (F|L1) + … + wn (F|Ln).

Some of the parameters, e.g., language model weights, were tuned based on the WERs of dev.

BIC values and weights are only given if model weights were non-zero.

Similarly, model weights were highest in the vertebrate set and smallest in the mammal set.

AIC or BIC model weights were estimated to examine model selection uncertainty and parameter contribution to the averaged estimates (see Posada and Buckley 2004).