Sentence examples for structures of the input from inspiring English sources

To identify the simple sentences we have analyzed the dependency structures of the input sentences.

As an unsupervised learning algorithm, an autoencoder is a neural network which can discover useful structures of the input data.

In this framework, the salient structures of the input images are fused in the gradient domain, then the final fused image is reconstructed by solving a Poisson equation which forces the gradients of the fused image to be close to the fused gradients.

In contrast to ddbRNA, MSARI uses the RNAfold program for predicting the independent secondary structures of the input sequences.

Clicking the 'View structures' button in the input page takes the user to confirm the two-dimensional graph structures of the input compounds.

This approach would be reasonable if one knows the true secondary structures of the input sequences and a method to score the output patterns.

Direct reengineering of the network topology using the functional structures of the input-output functions provides a mean to establish meso-scale network models which may be used as start point of further detailed models.

We show that the meso-scale topology is related to functional structures of the input-output data of the entire system, which can be unravelled from high throughput screening experiments, without information with respect to intermediate variables.

The structure of the input and output layers is rather straight forward.

To allow the SOM to learn the cluster structure of the input data space, 300,000 unsupervised learning steps were performed.

We need to specify the structure of the input vector and target for training the regression models.