Re:Machine learning is teaching us the secret to teaching
by skybrian on Sunday September 28, 2014 @01:19PM
(#8380290)
Yes, I mostly don't understand the math either. But apparently with the poetry, they converted it into a vector somehow based on the appearance of keywords. Perhaps someone will find a friendlier example.
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Re:Machine learning is teaching us the secret to teaching
by theoh on Sunday September 28, 2014 @02:51PM
(#8380589)
I think an example is this: for a concrete set of data, see the distributions on page 28 of this document (page 40 of the PDF)
http://mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/harpur_thes...
These different distributions are difficult to distinguish with statistics. However, if you can see the shape snd therefore know the "rule" or the structure of the distribution, it's easy to design/train a network to recognise them.
(note that the content of that PDF is not about this problem per se)
Re:Machine learning is teaching us the secret to teaching
by tehwalrus on Sunday September 28, 2014 @01:30PM
(#8380322)
I imagine a keyword decomposition would work very well with a pathologists' report too - essentially using the biological feature-names as "tags" on the image would eventually allow a program to correlate an image of that feature with a name much faster than a general "good v bad" fitness function.
If this is how it works, it's a shame this isn't made clearer in the texts. You could get someone to tag images whimsically but consistently, rather than go the whole trouble of writing poetry.