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» On Combining Classifiers
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NIPS
2004
13 years 11 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
NIPS
1996
13 years 11 months ago
Effective Training of a Neural Network Character Classifier for Word Recognition
We have combined an artificial neural network (ANN) character classifier with context-driven search over character segmentation, word segmentation, and word recognition hypotheses...
Larry S. Yaeger, Richard F. Lyon, Brandyn J. Webb
PRL
2002
95views more  PRL 2002»
13 years 10 months ago
Dissimilarity representations allow for building good classifiers
In this paper, a classification task on dissimilarity representations is considered. A traditional way to discriminate between objects represented by dissimilarities is the neares...
Elzbieta Pekalska, Robert P. W. Duin
PR
2008
202views more  PR 2008»
13 years 8 months ago
Building compact MQDF classifier for large character set recognition by subspace distribution sharing
Quadratic classifier with modified quadratic discriminant function (MQDF) has been successfully applied to recognition of handwritten characters to achieve very good performance. ...
Teng Long, Lianwen Jin
EACL
2006
ACL Anthology
13 years 11 months ago
Classifying Biological Full-Text Articles for Multi-Database Curation
In this paper, we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article (title ract, MeSH terms, and ca...
Wen-Juan Hou, Chih Lee, Hsin-Hsi Chen