4 ms·
For NLP applications, which I think Aria's article is mostly concerned with, non-linear kernelized classifiers are often little better than linear ones. I thin
by brendano 14y ago
For NLP applications, which I think Aria's article is mostly concerned with, non-linear kernelized classifiers are often little better than linear ones. I think that's one part of the recent interest in SGD-style training algorithms (they work for linear cases nicely, less so for kernelized ones).
[deleted part about kernelizing pegasos, realized i dont know that area]