A Bias-Variance Analysis of Bootstrapped Class-Separability Weighting for Error-Correcting Output Code Ensembles.
Raymond Stuart SmithTerry WindeattPublished in: ICPR (2010)
Keyphrases
- error correcting
- class separability
- ensemble methods
- base learners
- bias variance analysis
- error correction
- dimensionality reduction
- feature selection
- feature space
- error detection
- linear discriminant analysis
- decision trees
- discriminant analysis
- prediction accuracy
- block codes
- random forests
- benchmark datasets
- ensemble learning
- base classifiers
- error resilience
- channel coding
- intra class
- machine learning methods
- low dimensional
- input data
- high dimensional data
- text mining
- image data
- data points
- high dimensional
- neural network
- bayesian networks
- feature extraction
- learning algorithm
- machine learning