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NIPS
2004
13 years 11 months ago
Exponentiated Gradient Algorithms for Large-margin Structured Classification
We consider the problem of structured classification, where the task is to predict a label y from an input x, and y has meaningful internal structure. Our framework includes super...
Peter L. Bartlett, Michael Collins, Benjamin Taska...
ANLP
2000
89views more  ANLP 2000»
13 years 11 months ago
Assigning Function Tags to Parsed Text
It is generally recognized that the common nonterminal labels for syntactic constituents (NP, VP, etc.) do not exhaust the syntactic and semantic information one would like about ...
Don Blaheta, Eugene Charniak
SIGIR
2008
ACM
13 years 10 months ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 8 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
DLOG
2011
13 years 1 months ago
Correcting Access Restrictions to a Consequence More Flexibly
Recent research has shown that labeling ontologies can be useful for restricting the access to some of the axioms and their implicit consequences. However, the labeling of the axio...
Eldora, Martin Knechtel, Rafael Peñaloza