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» A Training Method with Small Computation for Classification
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ICML
2001
IEEE
14 years 8 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
TMI
2002
90views more  TMI 2002»
13 years 7 months ago
Edge Displacement Field-Based Classification for Improved Detection of Polyps in CT Colonography
Colorectal cancer can easily be prevented provided that the precursors to tumors, small colonic polyps, are detected and removed. Currently, the only definitive examination of the ...
Burak Acar, Christopher F. Beaulieu, Salih Burak G...
NORDICHI
2006
ACM
14 years 1 months ago
Modified contextual design as a field evaluation method
Downstream utility is a critical success factor for usability evaluation methods, in terms of the extent to which they can deliver value. In this paper we argue that field methods...
Sharon McDonald, Kelly Monahan, Gilbert Cockton
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 9 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
FPL
2006
Springer
111views Hardware» more  FPL 2006»
13 years 11 months ago
A-B Nodes Classification for Power Estimation
In this paper, an optimization for the classical statistical power estimation method is proposed. This technique is applied to the individual nodes. The optimization is based on t...
Elias Todorovich, Eduardo I. Boemo