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cs.LG2025
Sensor optimization for urban wind estimation with cluster-based probabilistic framework
Yutong Liang, Chang Hou, Guy Y. Cornejo Maceda +8
We propose a physics-informed machine-learned framework for sensor-based flow estimation for drone trajectories in complex urban terrain. The input is a rich set of flow simulation…
cs.LG2020
Uncovering Feature Interdependencies in High-Noise Environments with Stepwise Lookahead Decision Forests
Delilah Donick, Sandro Claudio Lera
Conventionally, random forests are built from "greedy" decision trees which each consider only one split at a time during their construction. The sub-optimality of greedy implement…