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» Arguing and Explaining Classifications
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ICASSP
2011
IEEE
12 years 11 months ago
Variability regularization in large-margin classification
This paper introduces a novel regularization strategy to address the generalization issues for large-margin classifiers from the Empirical Risk Minimization (ERM) perspective. Fi...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
AIME
2007
Springer
14 years 1 months ago
On the Behaviour of Information Measures for Test Selection
In diagnostic decision-support systems, a test-selection facility serves to select tests that are expected to yield the largest decrease in the uncertainty about a patient’s diag...
Danielle Sent, Linda C. van der Gaag
CSCW
2004
ACM
13 years 7 months ago
Small-Scale Classification Schemes: A Field Study of Requirements Engineering
Small-scale classification schemes are used extensively in the coordination of cooperative work. This study investigates the creation and use of a classification scheme for handlin...
Morten Hertzum
BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
CIKM
2006
Springer
13 years 11 months ago
3DString: a feature string kernel for 3D object classification on voxelized data
Classification of 3D objects remains an important task in many areas of data management such as engineering, medicine or biology. As a common preprocessing step in current approac...
Johannes Aßfalg, Karsten M. Borgwardt, Hans-...