Tag: Hidden Markov Model
-
Bayesian Neural Network Treasure Hunt Predictor
This project addresses the complex geospatial modeling challenge presented by Project Skydrop, a real-world treasure hunt requiring the discovery of a hidden prize using clues. By leveraging data clues taken from the hidden location and conditioning global context from satellites, we reason about the relative likelihood of the treasure’s position across a shrinking search grid.…