A Feature Selection Based on Minimum Upper Bound of Bayes Error.
Guorong XuanZhenping ZhangPeiqi ChaiYun-Qing ShiDongdong FuPublished in: MMSP (2005)
Keyphrases
- bayes error
- upper bound
- feature selection
- lower bound
- knn
- constant factor
- text categorization
- k nearest neighbor
- worst case
- mutual information
- feature weighting
- branch and bound algorithm
- feature set
- text classification
- support vector
- feature space
- error probability
- model selection
- lower and upper bounds
- data sets
- feature selection algorithms
- feature extraction
- unsupervised learning
- multi task
- sample complexity
- selected features
- discriminative features
- support vector machine
- machine learning