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TCBB
2011
12 years 12 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
13 years 11 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
BMCBI
2005
118views more  BMCBI 2005»
13 years 4 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
ISMIR
2005
Springer
185views Music» more  ISMIR 2005»
13 years 10 months ago
A Benchmark Dataset for Audio Classification and Clustering
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband si...
Helge Homburg, Ingo Mierswa, Bülent Möll...
PR
2006
84views more  PR 2006»
13 years 4 months ago
Document zone content classification and its performance evaluation
This paper describes an algorithm for the determination of zone content type of a given zone within a document image. We take a statistical based approach and represent each zone ...
Yalin Wang, Ihsin T. Phillips, Robert M. Haralick