Improving the accuracy of predicting disulfide connectivity by feature selection.
Lin ZhuJie YangJiangning SongKuo-Chen ChouHong-Bin ShenPublished in: J. Comput. Chem. (2010)
Keyphrases
- feature selection
- classification accuracy
- high accuracy
- information gain
- computational cost
- prediction accuracy
- text classification
- text categorization
- error rate
- small samples
- selected features
- feature selection algorithms
- multi class
- support vector
- feature extraction
- model selection
- machine learning
- mutual information
- computational efficiency
- connected components
- high dimensionality
- highly accurate
- feature space
- feature weighting
- discriminative features
- recursive feature elimination