Improved Bounds for the Nyström Method With Application to Kernel Classification.
Rong JinTianbao YangMehrdad MahdaviYu-Feng LiZhi-Hua ZhouPublished in: IEEE Trans. Inf. Theory (2013)
Keyphrases
- classification method
- support vector machine
- classification algorithm
- machine learning methods
- support vector machine svm
- training samples
- theoretical analysis
- classification accuracy
- classification scheme
- pattern classification
- pairwise
- feature space
- objective function
- feature vectors
- classification process
- dimension reduction
- preprocessing
- machine learning
- kernel fisher discriminant
- benchmark data sets
- accuracy rate
- tree kernels
- decision rules
- clustering method
- text classification
- feature set
- upper bound
- knn
- training set
- pattern recognition
- support vector
- gaussian kernels
- mutual subspace method
- similarity measure