Exact(28)
This is generally referred to as regularization.
The first part of the lost function act as regularization preventing the QRNN from from overfitting.
For this purpose, mechanical constraints, consisting of an appropriate homogenization model, are added as regularization factors to the optimization algorithm.
The methodology quantifies uncertainty in the moisture content distribution, using a Gaussian Markov random field (GMRF) prior as regularization operator.
Learned sparseness using the overcomplete dictionary has been successfully used as regularization for solving the inverse problems [43, 44].
One way to alleviate this problem consists of preventing the parameters from becoming too large; this is known as regularization.
Similar(32)
Computational purification methods apply different 'hard' and 'soft' constraints (also known as regularizations) to the parameters to ensure a unique, interpretable solution.
These results confirm predictions from change-based models of crowding, such as averaging [ 16], and establish crowding as a regularization process that simplifies the peripheral field by promoting consistent appearance among adjacent objects.
where is known as the regularization parameter.
Most of models focus on the regularizations as length regularization [3], mean curvature regularization [22], and H1 regularization [26].
where the parameter β is regarded as a regularization parameter.
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