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The Database module is a reference to the archiving of the learned relationships plus all ART based learned parameters.
After that, those newly learned parameters across nodes are shared by using the asynchronous communication protocol.
The decoder's job is to find the translation that is most likely according to a set of previously learned parameters (and a formula for combining them).
Solis et al. [10] developed an expressive flute-playing robot, which learned parameters such as note length and vibrato based on a human flutist's performance.
The DMNB model performs classification in one shot via a combination of mixed-membership models and logistic regression, where the results may depend on different choices of C. The learned parameters will clearly have good performances on the specific stimuli but not necessarily on the new testing set.
Furthermore, our maximum-likelihood approach allows learned parameters to be used to visualize and evaluate the evidence of novel predictions, aiding human judgment of their credibility.
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The image sequence is used to learn parameters in a stochastic differential equation model.
Although these methods automate the task of learning and inference, they also require experience in selecting classification models (for example, a support vector machine), learning parameters, features or the training data that would result in good performance.
The learning state estimates learning parameters as a function of the drift function.
This enables one to use high-performance deep learning frameworks to learn parameters of a probabilistic logic.
Likewise, two learning parameters in RG and MRG are encoded into a six-bit gene.
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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