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> extracting a parisomonious mathematical model from a neural net is nontrivial Has this ever been done? It strikes me as impossible. > Of course, were the mo
by arcanus 10y ago
> extracting a parisomonious mathematical model from a neural net is nontrivial
Has this ever been done? It strikes me as impossible.
> Of course, were the model really 100% accurate, then converting it to a the most parsimonious perfectly accurate model would be simple a matter of reduction
There are entire sub-fields of physics focused on reduced order models and phenomenalogical prediction. It is not 'simply a matter of reduction', it is non-trivial and the resulting models are almost always highly imperfect.
- dragonwriter 10y ago> Has this ever been done? Probably not. > It strikes me as impossible. "Impossible" is probably, in principle, not quite right, but when I said "nontrivial", I really did mean "almost certainly impractical in virtually all real cases". > There are entire sub-fields of physics focused on reduced order models and phenomenalogical prediction. It is not 'simply a matter of reduction', it is non-trivial and the resulting models are almost always highly imperfect. "Simply" there meant that it was just reduction, not that reduction is necessarily simple. The point was that in real-world cases, reduction to an equivalent model isn't the only problem.