In continuation of the CRF topic and also concurrently with the dynamic topic models paper we were reading, I suggest that we find a nice tutorial on gaussian processes,
or maybe even spice up the reading group by doing a 'watching group' for next time:
http://nips.cc/Conferences/2006/Program/event.php?ID=4
There's also a text book online by the presenter here:
http://www.gaussianprocess.org/gpml/chapters/
Following on from this, we can continue Kate's paper on dynamic topic models and after this combine what we've learnt from Gaussian processes with CRFS with this paper:
http://www.cs.brown.edu/~th/papers/AltHofSmo-ICML2004.pdf
I haven't read/seen any of this stuff yet so I have no idea whether it would be any good. However, they are by good people and so my gut reaction is that this would be quite a nice theme to continue.
Let me know what you think!
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There is even a chapter on Gaussian Processes in PRML (page 303-319)..
ReplyDeleteSounds like a good idea to me. Though I think its better to focus on a paper and use the video as an additional reference.
ReplyDeleteOK. How about we read sections 6.1-6.4.4? from Pattern Recognition and Machine Learning? I have a pdf of the relevant chapter if anyone needs it.
ReplyDeleteI'm a bit wary of chosing too much to read because we often don't get through the whole lot so hopefully this won't be too much.
How does 13th November sound?
I'll be there on 13th.
ReplyDeleteA very nice tutorial on gaussian processes, that i think is quite closely tied in with bishop's book chapter.
ReplyDeletehttp://videolectures.net/gpip06_mackay_gpb/
I would like (and will try) to attend it (sec 6.1 to 6.4). But please do not count me in, as it(Nov 13) would be just a day after my return from ICMI + etc.
ReplyDeleteOya suggested that I post this book chapter on Gaussian processes by David Mackay - I think it goes with the tutorial he gave, which I listed above.
ReplyDeletehttp://www.inference.phy.cam.ac.uk/mackay/itila/book.html
Can everyone who's interested in this reading group take a look at the two book chapters to see which one they would prefer to read for the reading group?
Ok. This is fine with me. jmarc
ReplyDeleteby the way hari, i mean from 6.4.1 to 6.4.4
ReplyDeleteso it's actually a shorter section.
anyway, preferences for which book chapter to read would be appreciated. kate said that the style of the mackay book suits her better.. what about everyone else?
By the way, in the Mackay book, the part on gaussian processes starts on p.535.
ReplyDeleteI prefer Bishop's book. It is also shorter..
ReplyDeleteI checked both chapters. I think Bishop's chapter is more simple and easy to understand. It can be better for those who want to have a quick general idea. David MacKay's chapter is more detailed with many formulas. better for those who want more details.
ReplyDeleteI suggest we go with Bishop's chapter. For things that are not clear or for those who want more reading, we can refer to MacKay :)
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ReplyDeleteHayley, this friday we are discussing bishop 6.4.1 to 6.4.4 is nt it? thanks -Dinesh
ReplyDeleteHey Dinesh.. Yes. Sorry I forgot to post something more concrete about this.
ReplyDeleteHi everyone,
ReplyDeletethe group meeting ran a bit late so let's start the reading group at 3pm today
Hayley
we are all back i guess. How about starting now?
ReplyDeleteHi again.. I messed up with the room bookings so we'll be in 106
ReplyDelete