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This article is incorrect. >Historically, machine learning has generally been supervised by humans. There are plenty of examples of computers identifying human
by jmduke 14y ago
This article is incorrect.
>Historically, machine learning has generally been supervised by humans. There are plenty of examples of computers identifying human faces (or cats) with incredible accuracy and speed — but only if human operators first tell the computer what to look for. That the Google/Stanford system starts from scratch and develops its own ability to classify objects is amazing.
Unsupervised machine learning has been around long before this feat -- which is nonetheless very impressive.
- duaneb 14y agoI think their point was that this was the first unsupervised system to achieve such good results. EDIT: Of course, that may have been due to the fact of better data/more processing power -> more time.
- marshallp 14y agoThe algorithm they used did not exist before 2005. Also since 2005 this algorithm had been mostly trained using just 1 computer at time (usually with gpu's). The supercomputer setup is novel for this. Most of the machine learning community had been disregarding this algorithm since 2005, until the past couple of years it started making dramatic showings, such as - Microsoft Research speech recognition system in 2011 (done by one of geoff hinton's students interning there) - NEC labs, ronan collobert - real-time natural languaege parser - first real-time parse ever - 2010 (trained on one computer for 3 months using wikipedia) - Google Research 16,000 node billion connection network - december 2011
- jmduke 14y agoAgain, I don't mean to disparage the achievement! But the article implied that Google invented unsupervised learning, which they didn't.