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BMCBI
2010
164views more  BMCBI 2010»
14 years 7 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
SMC
2007
IEEE
119views Control Systems» more  SMC 2007»
15 years 4 months ago
Modeling operator performance for error analysis
— Existing human performance taxonomies which mostly can answer the question “what factors could affect the result” rather than “why it happened”, are usually used to ana...
Alexander M. Yemelyanov
ICPR
2006
IEEE
15 years 11 months ago
Statistical Model for the Classification of the Wavelet Transforms of T-ray Pulses
This study applies Auto Regressive (AR) and Auto Regressive Moving Average (ARMA) modeling to wavelet decomposed terahertz pulsed signals to assist biomedical diagnosis and mail/p...
Bradley Ferguson, Brian Wai-Him Ng, Derek Abbott, ...
SIGIR
2008
ACM
14 years 9 months ago
Deep classification in large-scale text hierarchies
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
14 years 10 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang