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AIME
2009
Springer
15 years 3 months ago
Data-Efficient Information-Theoretic Test Selection
We use the concept of conditional mutual information (MI) to approach problems involving the selection of variables in the area of medical diagnosis. Computing MI requires estimate...
Marianne Mueller, Rómer Rosales, Harald Ste...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 8 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
IOLTS
2007
IEEE
120views Hardware» more  IOLTS 2007»
15 years 5 months ago
Accelerating Soft Error Rate Testing Through Pattern Selection
Soft error due to ionizing radiation is emerging as a major concern for future technologies. The measurement unit for failures due to soft errors is called Failure-In-Time (FIT) t...
Alodeep Sanyal, Kunal P. Ganeshpure, Sandip Kundu
ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 11 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
ISBI
2008
IEEE
15 years 11 months ago
Best individual template selection from deformation tensor minimization
We study the influence of the choice of template in tensorbased morphometry. Using 3D brain MR images from 10 monozygotic twin pairs, we defined a tensor-based distance in the log...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Agat...