Scaling SVM and Least Absolute Deviations via Exact Data Reduction.
Jie WangPeter WonkaJieping YePublished in: CoRR (2013)
Keyphrases
- data reduction
- feature selection
- support vector
- support vector machine svm
- data compression
- classification accuracy
- support vector machine
- preprocessing
- instance selection
- classification rules
- knowledge discovery
- high dimensionality
- data analysis
- classification algorithm
- knn
- multi class
- data mining
- training set
- singular value decomposition
- feature space
- model selection
- rough set theory
- machine learning
- data quality
- representative subset
- database
- text categorization
- expert systems
- computer vision
- image compression
- dimensionality reduction
- image data
- feature vectors
- association rules
- pattern recognition
- training data
- feature extraction