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Found 2 papers, 1 papers with code
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks
Multiple techniques for producing calibrated predictive probabilities using deep neural networks in supervised learning settings have emerged that leverage approaches to ensemble diverse solutions discovered during cyclic training or training from multiple random starting points (deep ensembles).
Signal Enhancement for Magnetic Navigation Challenge Problem
It is difficult to separate the Earth magnetic anomaly field, which is crucial for navigation, from the total magnetic field reading from the sensor.
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