Prediction of phosphorylation sites using SVMs.
Jong-Hun KimJuyoung LeeBermseok OhKuchan KimmInSong KohPublished in: Bioinform. (2004)
Keyphrases
- support vector
- prediction accuracy
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- stock market prediction
- binary classification
- experimentally determined
- neural networks and support vector machines
- machine learning
- prediction error
- support vector machine svm
- data sets
- artificial neural networks
- feature vectors
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- sparse kernel
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- multi class
- hyperplane
- knn
- maximum margin
- cost sensitive
- kernel methods
- svm classifier
- support vector machine
- kernel function