Use of Bayesian data reduction for the fusion of legacy classifiers.
Robert S. Lynch Jr.Peter K. WillettPublished in: Inf. Fusion (2003)
Keyphrases
- data reduction
- instance selection
- feature selection
- data compression
- preprocessing
- classification accuracy
- classification rules
- support vector
- data analysis
- training data
- naive bayes
- decision trees
- training set
- multiple features
- training samples
- bayesian networks
- representative subset
- rough set theory
- classification algorithm
- data mining
- dimensionality reduction
- knowledge discovery
- high dimensional
- singular value decomposition
- high dimensionality
- data quality
- fusion method
- model selection
- class labels
- compression algorithm
- high quality
- feature extraction
- computer vision
- information retrieval
- data sets