We introduce a cross-validation algorithm called nPool that can be applied in a distributed fashion. Unlike classic k-fold cross-validation, the data segments are mutually exclusive, and training takes place only on one segment. This system is well suited to run in concert with the EC-Star distributed Evolutionary system, cross-validating solution candidates during a run. The system is tested with different numbers of validation segments using a real-world problem of classifying ICU blood-pressure time series.

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In Genetic Programming Theory and Practice XIII, 2016. Springer, Cham.

@inproceedings{hodjat:gptp16, title={nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star}, author={Babak Hodjat and Hormoz Shahrzad}, booktitle={Genetic Programming Theory and Practice XIII}, month={ }, publisher={Springer, Cham}, url="http://nn.cs.utexas.edu/?hodjat:gptp16b", year={2016} }