Sentence examples for for processing sequential data from inspiring English sources

Recurrent neural networks RNNs are very powerful for processing sequential data [18].

We first attempt to characterize the capacity for processing sequential hierarchies more precisely, to better understand its neural basis.

This pattern is so common that Python has an additional control statement to process sequential data: the for statement.

The API supports the processing of sequential data streams.

Recurrent Neural Networks (RNNs) are the most successful models for sequential data.

Sequential data processing steps included: slice-timing adjustment, realignment and correction for head-motion, spatial normalization to the standard rat brain atlas (Paxinos and Watson, 2004), smoothing with an isotropic Gaussian kernel (FWHM = 1 mm), detrending and filtering (0.01 0.1 Hz).

Here we review current approaches, with an emphasis on information theory, sequential data processing, and optimality arguments.

There exist several methods for looking at longitudinal, sequential data like those recorded from learning environments.

The CM implements two different execution modes for processing the pipeline of video frames: sequential and parallel execution.

Depending upon the particular application, architecture modifications, such as those described above, could provide great potential for enhanced, further processing, as well as addressing episodic or sequential data.

While not as flexible as accessing arbitrary elements of a sequence (called random access), sequential access to sequential data series is often sufficient for data processing applications.