Combining Classification Improvements by Ensemble Processing.
Naohiro IshiiEisuke TsuchiyaYongguang BaoNobuhiko YamaguchiPublished in: SERA (2005)
Keyphrases
- classification accuracy
- training set
- final classification
- support vector
- support vector machine svm
- machine learning
- pattern recognition
- neural network
- combining classifiers
- feature selection
- ensemble classification
- multiple classifiers
- image classification
- data processing
- pattern classification
- automatic classification
- multiple classifier systems
- accurate classification
- majority voting
- concept drifting data streams
- ensemble classifier
- regression problems
- classification systems
- classification method
- decision rules
- feature vectors
- preprocessing
- feature extraction
- random forests
- generalization ability
- cross validation
- classifier ensemble
- feature set
- supervised learning
- individual classifiers
- support vector machine
- learning algorithm
- data sets