SVM ensemble classification of NMR spectra based on different configurations of data processing techniques.
Kai LienemannThomas PlötzGernot A. FinkPublished in: ICPR (2008)
Keyphrases
- ensemble classification
- nmr spectra
- data processing
- ensemble classifier
- random forest
- support vector machine svm
- support vector
- ensemble methods
- feature selection
- support vector machine
- nuclear magnetic resonance
- data analysis
- knn
- data management
- generalization ability
- majority voting
- ensemble learning
- concept drift
- chemical compounds
- decision trees
- kernel function
- svm classifier
- training data
- kernel methods
- pattern recognition
- benchmark datasets
- classification algorithm
- feature space
- base classifiers
- k nearest neighbor
- feature set
- discrete data
- machine learning
- prediction accuracy
- training set
- feature vectors
- multi class
- image features