An Ensemble of Case-Based Classifiers for High-Dimensional Biological Domains.
Niloofar ArshadiIgor JurisicaPublished in: ICCBR (2005)
Keyphrases
- high dimensional
- ensemble learning
- ensemble classifier
- multiple classifiers
- training data
- classifier ensemble
- ensemble pruning
- training set
- majority voting
- final classification
- decision trees
- ensemble methods
- multiple classifier systems
- combining classifiers
- high dimensionality
- individual classifiers
- trained classifiers
- feature selection
- decision tree classifiers
- naive bayes
- nearest neighbor
- case based reasoning
- support vector
- weighted voting
- ensemble members
- feature ranking
- class label noise
- similarity search
- dimensionality reduction
- low dimensional
- concept drifting data streams
- randomized trees
- one class support vector machines
- neural network
- classifier combination
- majority vote
- high dimensional data
- weak classifiers
- rule induction algorithm
- feature space
- diversity measures
- training samples
- random forest
- variable selection
- linear classifiers
- class imbalanced
- svm classifier
- data points
- classification algorithm
- weak learners
- case base
- concept drift
- data sets