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» Chunking with Support Vector Machines
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CSL
2008
Springer
13 years 9 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
BIOINFORMATICS
2006
129views more  BIOINFORMATICS 2006»
13 years 9 months ago
Predicting methylation status of CpG islands in the human brain
Motivation: Over 50% of human genes contain CpG islands in their 5'-regions. Methylation patterns of CpG islands are involved in tissue-specific gene expression and regulatio...
Fang Fang, Shicai Fan, Xuegong Zhang, Michael Q. Z...
BMCBI
2006
108views more  BMCBI 2006»
13 years 9 months ago
NOXclass: prediction of protein-protein interaction types
Background: Structural models determined by X-ray crystallography play a central role in understanding protein-protein interactions at the molecular level. Interpretation of these...
Hongbo Zhu, Francisco S. Domingues, Ingolf Sommer,...
BMCBI
2006
85views more  BMCBI 2006»
13 years 9 months ago
SVM-based prediction of caspase substrate cleavage sites
Background: Caspases belong to a class of cysteine proteases which function as critical effectors in apoptosis and inflammation by cleaving substrates immediately after unique sit...
Lawrence J. K. Wee, Tin Wee Tan, Shoba Ranganathan
BMCBI
2006
180views more  BMCBI 2006»
13 years 9 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis