Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs.
Huyen DoAlexandros KalousisMelanie HilarioPublished in: ECML/PKDD (1) (2009)
Keyphrases
- error bounds
- feature weighting
- support vector
- feature selection
- rademacher complexity
- feature weights
- text categorization
- training set
- theoretical analysis
- text classification
- worst case
- knn
- tf idf
- machine learning
- kernel machines
- multiple features
- classification accuracy
- feature vectors
- kernel function
- objective function
- learning algorithm
- image processing
- training data
- document clustering
- feature space
- model selection
- denoising
- support vector machine