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» A Comparative Evaluation of Name-Matching Algorithms
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IJCAI
2003
13 years 10 months ago
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
Charles X. Ling, Jin Huang, Harry Zhang
IDA
2009
Springer
13 years 6 months ago
Isotonic Classification Trees
Abstract. We propose a new algorithm for learning isotonic classification trees. It relabels non-monotone leaf nodes by performing the isotonic regression on the collection of leaf...
Rémon van de Kamp, Ad Feelders, Nicola Bari...
JMLR
2010
159views more  JMLR 2010»
13 years 3 months ago
Semi-Supervised Learning with Max-Margin Graph Cuts
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...
Branislav Kveton, Michal Valko, Ali Rahimi, Ling H...
ICDAR
2007
IEEE
14 years 3 months ago
Handwriting Segmentation Contest
This paper presents the results of the Handwriting Segmentation Contest that was organized in the context of ICDAR2007. The aim of this contest was to use well established evaluat...
Basilios Gatos, Apostolos Antonacopoulos, Nikolaos...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez