Prediction of cis/trans isomerization using feature selection and support vector machines.
Costas P. ExarchosCostas PapaloukasThemis P. ExarchosAnastassios N. TroganisDimitrios I. FotiadisPublished in: J. Biomed. Informatics (2009)
Keyphrases
- support vector
- feature selection
- learning machines
- large margin classifiers
- classification accuracy
- prediction accuracy
- support vector machine
- feature ranking
- text categorization
- generalization ability
- prediction model
- cross validation
- logistic regression
- machine learning
- prediction algorithm
- kernel function
- feature extraction
- multi class
- model selection
- mutual information
- high dimensionality
- feature set
- binary classification
- dimensionality reduction
- data sets
- decision function
- feature space
- maximum margin
- feature selection algorithms
- prediction error
- naive bayes
- training examples
- information gain
- classification models
- selected features
- hyperplane
- feature weighting
- feature subset
- parameter optimization
- svm classifier
- loss function