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PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
ASPDAC
2006
ACM
119views Hardware» more  ASPDAC 2006»
16 years 18 days ago
A dynamic test compaction procedure for high-quality path delay testing
- We propose a dynamic test compaction procedure to generate high-quality test patterns for path delay faults. While the proposed procedure generates a compact two-pattern test set...
Masayasu Fukunaga, Seiji Kajihara, Xiaoqing Wen, T...
BMCBI
2008
129views more  BMCBI 2008»
15 years 6 months ago
Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
René Natowicz, Roberto Incitti, Euler Guima...
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
16 years 22 days ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
TMI
2010
206views more  TMI 2010»
15 years 1 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...