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> Yeah, that is pretty much the entire objective of SVMs. Which is hard to do by hand in many dimensions but almost trivial in 2. I haven't read the paper but
by feanaro 8y ago
> Yeah, that is pretty much the entire objective of SVMs.
Which is hard to do by hand in many dimensions but almost trivial in 2. I haven't read the paper but maybe the OP is complaining about something like that?
- kens 8y agoYes, the data is essentially 1-dimensional and looks like "CCC MMMMMMMM". (Seriously, look at Figure 2 graph H in the paper.) It seems entirely gratuitous to use machine learning to build a SVM classifier to separate the C's from the M's, when it's obvious that the C's are on the left and the M's on the right.
- pbhjpbhj 8y agoPerhaps the use of machine learning helped to acquire funding, or enabled the researchers to acquire skills for future projects.