Empirical Study of the Universum SVM Learning for High-Dimensional Data.
Vladimir CherkasskyWuyang DaiPublished in: ICANN (1) (2009)
Keyphrases
- empirical studies
- high dimensional data
- unbalanced data
- learning algorithm
- maximum margin
- regression problems
- high dimensional
- subspace clustering
- nearest neighbor
- dimensionality reduction
- data sets
- input space
- low dimensional
- learning problems
- structured output
- data distribution
- semi supervised learning
- data points
- multi class
- binary classification
- data mining
- support vector machine svm
- similarity search
- sample size
- unsupervised learning
- learning tasks
- knn
- support vector
- training data
- machine learning