News for hackers. Stuff that matters.

A comment on Building high-level features using large scale unsupervised learning. Parent comment

Re:Building high-level features using large scale unsupervis... by Smerity on Friday June 22, 2012 @05:20AM (#4146060)
In a more general response: I don't think what I stated obscures what's notable about the system, I feel I stated exactly what was notable and specifically avoided overstating it.

Overhyping when it comes to machine learning and AI seems to be the norm and has already hurt AI/ML severely in the past[1].

More specifically: I didn't disagree with anything you've stated, simply pointed out that labeled training data is necessary in response to the statement that it wasn't.The high-level feature extraction the paper discusses is unsupervised but the classifiers it produces are semi-supervised. It's an important distinction.

[1]: http://en.wikipedia.org/wiki/AI_winter

[ Parent | on HN ]
Re:Building high-level features using large scale unsupervis... by sellsword on Saturday June 23, 2012 @12:36AM (#4150060)
Having a bachelor's emphasis in AI, I think you described it perfectly. I was wondering too from their abstract how they were recognizing "faces" entirely without labels, this makes it clearer. As you said, unsupervised they can find extremely high-level categories. That is pretty impressive.
[ Parent | on HN ]