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International Workshop on Intelligent Information Access

Active, Semi-Supervised Learning for Textual Information Access

author: Anastasia Krithara, XEROX Research Centre Europe, Xerox
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Slides
0:00 Active, Semi-Supervised Learning for Textual Information Access
0:15 Introduction pt 1
1:06 Introduction pt 2
1:21 Outline
1:43 Semi-Supervised Learning (SSL)
2:12 Active Learning
3:21 Combination of SSL and Active Learning
4:25 Active, Semi-Supervised PLSA pt 1
4:50 Active, Semi-Supervised PLSA pt 2
5:27 Active, Semi-Supervised PLSA pt 3
6:18 Active, Semi-Supervised PLSA pt 4
8:10 Active, Semi-Supervised PLSA pt 5
8:50 Active, Semi-Supervised PLSA pt 6
9:15 Active, Semi-Supervised PLSA pt 7
9:58 Experimental Setting pt 1
10:53 Experimental Setting pt 2
11:31 Experimental Results pt 1
12:00 Experimental Results pt 2
12:13 Experimental Results pt 3
12:31 Conclusions
12:53 Future Work
13:56 Thank you

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Reviews and comments:

Comment1 nice, May 31, 2007 at 11:17 a.m.:

great performance, though you seemed very stressed...Obviously you know your subject and you deserve to succeed in you phd!

Kind regards, an old internship friend with a red car... ;-)


Comment2 potofeu, June 1, 2007 at 12:21 a.m.:

a red car with lots of beers (not bear) inside


Comment3 George, June 5, 2007 at 5:29 p.m.:

Good work. SSL + Active Learning makes a lot of sense to combine.

Looks from the preliminary results that SSL is doing most of the heavy lifting. AL helps a little.

I wonder about the more common case where the class of interest is in the minority.


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