Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness.
José A. SáezMikel GalarJulián LuengoFrancisco HerreraPublished in: Inf. Sci. (2013)
Keyphrases
- noisy data
- multiple classifier systems
- classification systems
- machine learning
- classification accuracy
- feature selection
- decision trees
- pattern recognition
- feature space
- training samples
- feature vectors
- text classification
- high dimensional
- missing data
- data analysis
- training data
- feature extraction
- combination of multiple classifiers
- dynamic classifier selection
- data sets
- information extraction
- neural network