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» Eliminating Class Noise in Large Datasets
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ICML
2003
IEEE
14 years 4 months ago
Eliminating Class Noise in Large Datasets
Xingquan Zhu, Xindong Wu, Qijun Chen
CBMS
2006
IEEE
13 years 9 months ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
ISBRA
2007
Springer
13 years 9 months ago
Noise-Based Feature Perturbation as a Selection Method for Microarray Data
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...
Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Stev...
BMCBI
2008
171views more  BMCBI 2008»
13 years 3 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
COMPGEOM
2006
ACM
13 years 9 months ago
Online geometric reconstruction
We investigate a new class of geometric problems based on the idea of online error correction. Suppose one is given access to a large geometric dataset though a query mechanism; f...
Bernard Chazelle, C. Seshadhri