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The BNNs consist of creating multiple sets of data by sampling randomly with replacement, training a neural network on each data set, and averaging the results obtained from each trained neural network.
The Cox method has been thoroughly tested using multiple sets of data generated by the neural network model of the leaky integrate and fire neurons with a prescribed architecture of connections.
Finally, Stae wants to link together multiple sets of data to analyze them and draw some conclusions.
SIMD allows a chip to perform the same mathematical operation on multiple sets of data at the same time.
Researchers have worked for years to encode multiple sets of data in the same spot without interfering with one another.
To develop the approach, the first step was to collect multiple sets of data and perform experiments.
We show that our framework learns an interaction landscape with increased accuracy, explaining multiple sets of data in accordance with thermodynamic principles of competitive DNA binding.
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