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Edge Selection for the Effective use of Piecewise-Constant Distributions as Neural Network Outputs for Event Prediction
We study the output representation of a neural network used for next event prediction. We propose partitioning the time axis into a fixed set of intervals and having a neural network output a categorical distribution over them, which we map to a (mostly) piecewise-constant probability density. We pr
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