Calibration is a really well defined problem when you have two-classes. I've looked at the multi-class case enough to know that there aren't any completely satisfactory answers.
... yo nico, you're writing really great comments that keep winding up [dead], go write the admins and find out what's going on!
I spent a lot of time in the 2010s trying to revive symbolic A.I. I rejected (and still reject) the usual conclusion that knowledge base construction is too expensive, but I found the lack of a rigorous and systematic approach to dealing with uncertainty was fundamental... And boy did I learn that half-baked approaches to the problem didn't quite work!
Calibration is a really well defined problem when you have two-classes. I've looked at the multi-class case enough to know that there aren't any completely satisfactory answers.
... yo nico, you're writing really great comments that keep winding up [dead], go write the admins and find out what's going on!
I spent a lot of time in the 2010s trying to revive symbolic A.I. I rejected (and still reject) the usual conclusion that knowledge base construction is too expensive, but I found the lack of a rigorous and systematic approach to dealing with uncertainty was fundamental... And boy did I learn that half-baked approaches to the problem didn't quite work!
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