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» Learning on the Test Data: Leveraging Unseen Features
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ICML
2010
IEEE
13 years 9 months ago
Application of Machine Learning To Epileptic Seizure Detection
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
Ali H. Shoeb, John V. Guttag
EMNLP
2007
13 years 10 months ago
Extending a Thesaurus in the Pan-Chinese Context
In this paper, we address a unique problem in Chinese language processing and report on our study on extending a Chinese thesaurus with region-specific words, mostly from the fina...
Oi Yee Kwong, Benjamin Ka-Yin T'sou
SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
13 years 10 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
BMCBI
2007
140views more  BMCBI 2007»
13 years 9 months ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 3 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla