From Supervised to Unsupervised Support Vector Machines and Applications in Astronomy.
Fabian GiesekePublished in: Künstliche Intell. (2013)
Keyphrases
- support vector
- learning machines
- supervised learning
- unsupervised methods
- semi supervised
- unsupervised learning
- large margin classifiers
- supervised classification
- discriminant projection
- supervised methods
- feature selection
- word sense induction
- unsupervised feature selection
- supervised training
- weakly supervised
- learning algorithm
- training examples
- logistic regression
- generalization ability
- machine learning
- svm classifier
- scientific data
- binary classification
- completely unsupervised
- classification accuracy
- kernel methods
- multi class
- unsupervised manner
- maximum margin
- semi supervised learning
- support vector machine
- cross validation
- loss function
- kernel function
- labeled data
- text classification
- multiple instance learning
- data driven
- model selection
- decision function
- dimensionality reduction
- radial basis function
- feature space
- supervised and semi supervised
- training data