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- Massachusetts Institute of TechnologyUS180 papers
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Showing 2014 · cs.AIShow all
2 papers · 2 filters
cs.AI2014★ 1 cited
Predicting the behavior of interacting humans by fusing data from multiple sources
Erik J. Schlicht, Ritchie Lee, David H. Wolpert +2
Multi-fidelity methods combine inexpensive low-fidelity simulations with costly but highfidelity simulations to produce an accurate model of a system of interest at minimal cost. T…
cs.AI2014★ 15 cited
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan +4
The problem of modeling and predicting spatiotemporal traffic phenomena over an urban road network is important to many traffic applications such as detecting and forecasting conge…