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> Because EMX is a new model in machine learning, we do not yet know its usefulness for developing real-world algorithms. So these results might not turn out to
by dooglius 8y ago
> Because EMX is a new model in machine learning, we do not yet know its usefulness for developing real-world algorithms. So these results might not turn out to have practical importance. But we do now know that we should be careful when introducing new models of learning. Moreover, we might need to look again at the many subtleties that can come up, even in established learning models.
In other words, "Machine Learning" here is a buzzword, without which the paper would probably get less attention.
- logancg 8y agoHow do you come to the conclusion that ML is a buzzword here? It's natural to publicize interesting new research that grounds a field -- as statisticial learning theory does for machine learning. Historically, Ben-David and co-authors have produced foundational work on the implications of SLT in ML.
- dooglius 8y agoThe problem is that the model was invented in this paper itself, and doesn't actually seem to relate to any actual ML algorithm. Admittedly, I didn't read the paper itself so this may be the overreach on the article's part.
- zwaps 8y agoI don't think that can be true. If it was, it were like this: Hey guys, here's an algorithm. Oh by the way, we can not prove that this algorithm does something useful, and their can you. gets published in nature Talk about bang for the buck