4 ms·
In my understanding, ML works by mapping a huge input space to a tiny output space, and most of the input space remains unexplored. In this case the input spac
by jerome-jh 7y ago
In my understanding, ML works by mapping a huge input space to a tiny output space, and most of the input space remains unexplored.
In this case the input space is small and you want a quite dense mapping from input to output. I do not think ML applies.
- gdxhyrd 7y agoNo, ML works fine with large output spaces too. The problem is that the solution space grows super exponentially, and if you need to find an exact one, then the number of samples too.