Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data
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DOI: 10.1016/j.neucom.2016.06.084
Abstract: Abstract Learning spatio-temporal dependency structure is meaningful to characterize causal or statistical relationships. In many real-world applications, dependency structure is often characterized by time-lag between variables. For example, traffic system and climate, time lag is… read more here.
Keywords: spatio temporal; temporal dependencies; time; time lag ... See more keywords