Sentence examples for learnt parameters from inspiring English sources
The phrase "learnt parameters" is correct and usable in written English
It is typically used in the context of machine learning or statistics to refer to the values that a model has learned during training. Example: "The model's performance improved significantly after adjusting the learnt parameters."
However, we confirmed that over-fitting was not occurred and learnt parameters were converged sufficiently.
The arcs between the nodes of the PGM (landmarks) and the subtended angles are modeled as Gaussian spring forces with parameters learnt during a training phase.
where β is the parameters learnt and adjusted in real time, a s is the mean of the measured acceleration data during the timeslot, and μ is the noise.
Each time we take all but one sequences as training data, and predict on the remaining sequence by the model with parameters learnt from the training data.
Consequently, once the network parameters are learnt, the parameters remain fixed.
If the task is a classification task usually another supervised layer is put on top of the last layer and its parameters are learnt (either randomly or by using supervised data and keeping the rest of the network fixed).
And then, the BN parameters are learnt by using the cases which are designed from the seismic data in the period between 00 00 00 on January 1 , 1992and 00 00 00 on January 1 , 2012
The model in GEMSTAT can be specified to include or exclude a specific regulator, and once a regulator is added to the model, all parameters are learnt from appropriate training data.
By combining approaches from chemistry and biology much is learnt about the most important parameters controlling lipase enantioselectivity for organic synthesis.
The weight-sharing property reduces the number of parameters to be learnt from N×J×K to J×K and also allows the model to account for documents of different lengths.
Typically, when the number of features is very large, a small value of k implies that the number of parameters to be learnt is much smaller than f g × f d.
