Dynamic Integration of Classifiers in the Space of Principal Components.
Alexey TsymbalMykola PechenizkiySeppo PuuronenDavid W. PattersonPublished in: ADBIS (2003)
Keyphrases
- principal components
- dynamic integration
- kernel space
- principal component analysis
- weighted voting
- feature set
- dimensionality reduction
- low dimensional
- decision trees
- feature selection
- random forests
- naive bayes
- data fusion
- training data
- hyperplane
- support vector
- context aware
- pattern recognition
- training set
- high dimensional
- kernel function
- machine learning algorithms
- nearest neighbor
- dimension reduction
- majority voting
- feature extraction