Research Article
A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution Estimator
Algorithm 2
A reweighted scheme for initialization.
| Given: A set of training samples , weight matrix , and bias from the trained NADE | | Output: A reweighted new weight matrix and bias for pretraining the neural network | (1) | For training sample , compute the corresponding reweighted score vector using equations (13)–(16) | (2) | Using equation (20) to compute the final reweighted score vector | (3) | Using equations (21) and (22) to obtain and | (4) | Choose the best weight matrix and bias by validation. |
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