Tpp System One Process Maps
/research-for-health-(rfh)/emerging-tech-research-prioritisation-support-(eps)/tpp-development-process.tmb-1366v.png?sfvrsn=d8178a56_1 "Tpp System One Process Maps")
%20constructs%20an%20intensity%20function%20by%20taking%20the%20occurrence%20times%20into%20account.%20Nevertheless%2C%20occurrence%20time%20may%20not%20be%20the%20only%20relevant%20factor%2C%20other%20contextual%20data%2C%20termed%20covariates%2C%20may%20also%20impact%20the%20event%20evolution.%20Incorporating%20such%20covariates%20into%20the%20model%20is%20beneficial%2C%20while%20distinguishing%20their%20relevance%20to%20the%20event%20dynamics%20is%20of%20great%20practical%20significance.%20In%20this%20work%2C%20we%20propose%20a%20Transformer-based%20covariate%20temporal%20point%20process%20(TransFeat-TPP)%20model%20to%20improve%20the%20interpretability%20of%20deep%20covariate-TPPs%20while%20maintaining%20powerful%20expressiveness.%20TransFeat-TPP%20can%20effectively%20model%20complex%20relationships%20between%20events%20and%20covariates%2C%20and%20provide%20enhanced%20interpretability%20by%20discerning%20the%20importance%20of%20various%20covariates.%20Experimental%20results%20on%20synthetic%20and%20real%20datasets%20demonstrate%20improved%20prediction%20accuracy%20and%20consistently%20interpretable%20feature%20importance%20when%20compared%20to%20existing%20deep%20covariate-TPPs. "Tpp System One Process Maps")
![[TPP #] ZKsync Catalyst Program (](https://forum.zknation.io/uploads/db7785/original/1X/0d5202941d47dcfbe300d20b16814249bd9f65d1.png "Tpp System One Process Maps")
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