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BMCBI
2005
118views more  BMCBI 2005»
14 years 9 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
81
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CORR
2002
Springer
63views Education» more  CORR 2002»
14 years 9 months ago
Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
Peter D. Turney
JMLR
2010
115views more  JMLR 2010»
14 years 4 months ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 7 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
ICML
2003
IEEE
15 years 10 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller