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ICPR
2004
IEEE
14 years 5 months ago
The Characterization of Classification Problems by Classifier Disagreements
In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not on...
David M. J. Tax, Elzbieta Pekalska, Robert P. W. D...
ACL
2010
13 years 2 months ago
A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation
The automatic interpretation of noun-noun compounds is an important subproblem within many natural language processing applications and is an area of increasing interest. The prob...
Stephen Tratz, Eduard H. Hovy
ICML
2010
IEEE
13 years 5 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
JMLR
2008
117views more  JMLR 2008»
13 years 4 months ago
Active Learning by Spherical Subdivision
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Falk-Florian Henrich, Klaus Obermayer
PRL
2006
99views more  PRL 2006»
13 years 4 months ago
An ensemble-driven k-NN approach to ill-posed classification problems
This paper addresses the supervised classification of remote-sensing images in problems characterized by relatively small-size training sets with respect to the input feature spac...
Mingmin Chi, Lorenzo Bruzzone