Hi,
I guess everybody is back to work again after the long break and we can restart our reading groups.
To organize the reading groups this year and to discuss what kind of readings we would like to have, let's have a meeting this tuesday. I hope (almost) everybody is available on Tuesday 14:00 next week (26 Jan 2010). If not, we'll find another time.
The main discussion will be on the format, the topics we would like to cover, whether or not to continue with the light and heavy ones, the frequency of the reading groups, ....
If you won't make it to the meeting, you can email your comments to me.
best,
oya
Thursday, January 21, 2010
Thursday, December 3, 2009
Next Heavy Reading group
Next reading group will take place on:
11 December 2009
Presented by:
Oya Aran
Paper to read:
Gaussian Process Classification for Segmenting and Annotating Sequences
Altun, Hofmann & Smola
http://www.cs.brown.edu/~th/papers/AltHofSmo-ICML2004.pdf
This will be the last reading group of the year. We will continue the reading groups next year, on mid January, when everybody is back from holidays.
11 December 2009
Presented by:
Oya Aran
Paper to read:
Gaussian Process Classification for Segmenting and Annotating Sequences
Altun, Hofmann & Smola
http://www.cs.brown.edu/~th/papers/AltHofSmo-ICML2004.pdf
This will be the last reading group of the year. We will continue the reading groups next year, on mid January, when everybody is back from holidays.
Tuesday, December 1, 2009
Next Heavy Reading Group
Next reading group will take place on:
Thurs. Dec 3rd at 11am
Presented by:
Kate
Paper to read:
Dynamic Topic Model:
www.cs.princeton.edu/~blei/papers/BleiLafferty2006a.pdf
Thurs. Dec 3rd at 11am
Presented by:
Kate
Paper to read:
Dynamic Topic Model:
www.cs.princeton.edu/~blei/papers/BleiLafferty2006a.pdf
Tuesday, November 24, 2009
Next light reading roup: The Combining Classifier: to Train or Not to Train?
Next reading group will take place on:
27 November 2009
Presented by:
Oya Aran
Paper to read:
The Combining Classifier: to Train or Not to Train? by R. Duin
/homes/oaran/Public/papers/duin02combining.pdf
27 November 2009
Presented by:
Oya Aran
Paper to read:
The Combining Classifier: to Train or Not to Train? by R. Duin
/homes/oaran/Public/papers/duin02combining.pdf
Friday, October 23, 2009
Weighted Kappa: Nominal Scale Agreement with provision for scaled disagreement or partial credit Jacob Cohen, Psychological Bulletin,1968
Next Light reading group will take place on:
6th November
Presented by:
Hayley
Paper to read:
Weighted Kappa: Nominal Scale Agreement with provision for scaled disagreement or partial credit Jacob Cohen, Psychological Bulletin,1968
/home/userdirs/hhung/E000783444_1.pdf
This paper should be useful to a number of people who may be collecting any type of human annotations.
6th November
Presented by:
Hayley
Paper to read:
Weighted Kappa: Nominal Scale Agreement with provision for scaled disagreement or partial credit Jacob Cohen, Psychological Bulletin,1968
/home/userdirs/hhung/E000783444_1.pdf
This paper should be useful to a number of people who may be collecting any type of human annotations.
Tuesday, October 20, 2009
Suggestion for heavy reading group themes
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!
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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