Comments (1)
andynoack
commented on September 23, 2024
Hey @gogo2464,
we had the same idea before implementing the rule-based solution that is currently deployed. There were basically two reasons against a ML based solution years ago. The first reason is that rule-based AI is just faster and since URH is a GUI-application response times really matter. As long as the precision of rule-based and AI solutions is similar (and we assume that) there is no reason to deploy a more complex and slower system. The main reason that we do not expect a better precision of ML-based solutions is lack of training data. Artificial data that could be generated does not produce solutions for many real world applications due to different error/interference characteristics. Gathering enough (and suitable) real world data is a lot of organisational work.
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Related Issues (20)
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