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» Learning to learn with the informative vector machine
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DBSEC
2010
319views Database» more  DBSEC 2010»
15 years 7 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang
154
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BMCBI
2010
115views more  BMCBI 2010»
15 years 6 months ago
Machine learning methods for metabolic pathway prediction
Background: A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is ...
Joseph M. Dale, Liviu Popescu, Peter D. Karp
203
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CANDC
2005
ACM
15 years 6 months ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
171
Voted
PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
15 years 4 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
ICCV
2009
IEEE
15 years 3 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela