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PRODID:-//pretalx//pretalx.com//juliacon-2022//talk//RQP9TG
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UID:pretalx-juliacon-2022-RQP9TG@pretalx.com
DTSTART:20220727T143000Z
DTEND:20220727T144000Z
DESCRIPTION:ModalDecisionTrees.jl offers a set of symbolic machine learning
  algorithms that extend classical decision tree learning algorithms\, and 
 are able to natively handle time series and image data. *Modal Decision Tr
 ees* leverage *modal logics* to perform a primitive-but-powerful form of e
 ntity-relation reasoning\; this allows them to capture temporal and spatia
 l patterns\, and makes them suitable to natively deal (= no need for featu
 re extraction) with data such as multivariate time-series and images.
DTSTAMP:20260312T132952Z
LOCATION:Red
SUMMARY:ModalDecisionTrees: Decision Trees\, meet Modal Logics - Giovanni P
 agliarini
URL:https://pretalx.com/juliacon-2022/talk/RQP9TG/
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