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» Adaptive Learning from Evolving Data Streams
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HAIS
2011
Springer
14 years 4 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 10 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
97
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INTERSPEECH
2010
14 years 7 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
115
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BMCBI
2006
123views more  BMCBI 2006»
15 years 16 days ago
An Automated Method for Rapid Identification of Putative Gene Family Members in Plants
Background: Gene duplication events have played a significant role in genome evolution, particularly in plants. Exhaustive searches for all members of a known gene family as well ...
Ronald L. Frank, Ajay Mane, Fikret Erçal
97
Voted
BMCBI
2006
143views more  BMCBI 2006»
15 years 16 days ago
Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
Rainer König, Gunnar Schramm, Marcus Oswald, ...