Scaling SVM and Least Absolute Deviations via Exact Data Reduction.
Jie WangPeter WonkaJieping YePublished in: ICML (2014)
Keyphrases
- data reduction
- feature selection
- data compression
- support vector machine svm
- support vector
- support vector machine
- classification rules
- instance selection
- preprocessing
- classification accuracy
- model selection
- classification algorithm
- multi class
- data mining
- knn
- knowledge discovery
- representative subset
- training set
- singular value decomposition
- data analysis
- feature vectors
- machine learning
- rough set theory
- training data
- genetic programming
- feature space
- k nearest neighbor
- text categorization
- text classification
- clustering algorithm
- neural network
- pattern recognition
- high quality
- semi supervised
- high dimensionality
- artificial intelligence
- multiresolution