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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).
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Solid black line gives the fit of the weighted logistic regression, where model weights are given by the number of ferrets in each experiment.
Some of the parameters, e.g., language model weights, were tuned based on the WERs of dev.
Internal coefficients of neural model – weights – are adapted on-line according to the Levenberg Marquardt algorithm.
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].
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.
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.
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.
The model weights are recalibrated annually to introduce possible changes relating to health status, price changes and clinical practice.
Chips pseudo-images of robust linear model weights are a computational method to measure the quality of microarrays.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com