Abstract: Interactive prediction with multiple traffic participants in highly dynamic scenarios is extremely challenging for autonomous driving, especially when heterogeneous agents such as vehicles ...
The library detects abnormal surges in trade flow — sudden acceleration of arrivals, buy/sell imbalance shifts, and structural regime changes — from a raw stream of aggregated trades. The direction of ...
A Novel Bayesian General Medical Diagnostic Assistant Achieves Superior Accuracy With Sparse History
Online AI symptom checkers and diagnostic assistants (DAs) have tremendous potential to reduce misdiagnosis and cost, while increasing the quality, convenience, and availability of healthcare, but ...
Brain rhythms have been proposed to facilitate brain function, with an especially important role attributed to the phase of low-frequency rhythms. Understanding the role of phase in neural function ...
Data assimilation, defined as the fusion of data with preexisting knowledge, is particularly suited to elucidating underlying phenomena from noisy/insufficient observations. Although this approach has ...
Journal of Computational and Graphical Statistics, Vol. 19, No. 2 (June 2010), pp. 260-280 (21 pages) We describe a strategy for Markov chain Monte Carlo analysis of nonlinear, non-Gaussian ...
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