Proteomic mass spectra classification using decision tree based ensemble methods.
Pierre GeurtsMarianne FilletDominique de SenyMarie-Alice MeuwisMichel MalaiseMarie-Paule MervilleLouis WehenkelPublished in: Bioinform. (2005)
Keyphrases
- ensemble methods
- ovarian cancer
- mass spectra
- decision trees
- machine learning methods
- benchmark datasets
- generalization ability
- classifier ensemble
- prediction accuracy
- random forests
- rule learning
- majority voting
- mass spectrometry
- individual classifiers
- classification accuracy
- support vector
- ensemble learning
- base classifiers
- random forest
- feature vectors
- pattern recognition
- machine learning
- cancer diagnosis
- feature extraction
- early detection
- training data
- similarity search
- rule sets
- classification algorithm
- svm classifier
- class labels
- support vector machine svm
- text classification
- semi supervised
- support vector machine
- feature space