A multi-task Gaussian process plus a dilated convolutional network reconstructs daily hormone levels from sparse samples, and an oracle-style sampling rule is shown to help, all on synthetic cycles.
Solomon, Frank B
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Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
A multi-task Gaussian process plus a dilated convolutional network reconstructs daily hormone levels from sparse samples, and an oracle-style sampling rule is shown to help, all on synthetic cycles.