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Okawa et al., 2019 - Google Patents

Deep mixture point processes: Spatio-temporal event prediction with rich contextual information

Okawa et al., 2019

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Document ID
11172559688572414672
Author
Okawa M
Iwata T
Kurashima T
Tanaka Y
Toda H
Ueda N
Publication year
Publication venue
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

External Links

Snippet

Predicting when and where events will occur in cities, like taxi pick-ups, crimes, and vehicle collisions, is a challenging and important problem with many applications in fields such as urban planning, transportation optimization and location-based marketing. Though many …
Continue reading at arxiv.org (PDF) (other versions)

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