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pro vyhledávání: '"Silbermann, Joshua"'
Autor:
Lee, Ritchie, Mengshoel, Ole J., Saksena, Anshu, Gardner, Ryan, Genin, Daniel, Silbermann, Joshua, Owen, Michael, Kochenderfer, Mykel J.
Publikováno v:
Journal of Artificial Intelligence Research (JAIR) 69 (2020) 1165-1201
Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collision avoidance systems and autonomous cars. In many applications such as
Externí odkaz:
http://arxiv.org/abs/1811.02188
Understanding heterogeneous multivariate time series data is important in many applications ranging from smart homes to aviation. Learning models of heterogeneous multivariate time series that are also human-interpretable is challenging and not adequ
Externí odkaz:
http://arxiv.org/abs/1708.09121