Inference and Robotic Path Planning over High Dimensional Categorical Observations
Advances in marine autonomy, deep-learning, and in-situ marine sensing technology have enabled oceanographers to collect vast amounts of spatiotemporally-distributed, sparse, high dimensional categorical data. Statistical models, particularly in streaming and computationally constrained settings, ha...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156616 |