Finding optimal classifiers for small feature sets in genomics and proteomics.
Gregor StiglicJuan José Rodríguez DiezPeter KokolPublished in: Neurocomputing (2010)
Keyphrases
- feature set
- finding optimal
- feature selection
- classification accuracy
- extracted features
- random forest
- feature extraction
- feature vectors
- class labels
- feature types
- training and test sets
- classification models
- training set
- feature space
- multiple features
- feature subset
- structural features
- audio features
- low level
- principal component analysis
- hidden markov models
- data sets
- ensemble learning
- support vector
- individual features