Gaussian Processes for Prediction of Homing Pigeon Flight Trajectories
We construct and apply a stochastic Gaussian Process (GP) model of flight trajectory generation for pigeons trained to home from specific release sites. The model shows increasing predictive power as the birds become familiar with the sites, mirroring the animal's learning process. We show how...
Main Authors: | , , , , , , , , |
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Format: | Conference item |
Published: |
2009
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