Incorporating Invariances in Support Vector Learning Machines.
Bernhard SchölkopfChris BurgesVladimir VapnikPublished in: ICANN (1996)
Keyphrases
- learning machines
- support vector
- learning tasks
- learning problems
- kernel machines
- support vector machine
- kernel function
- machine learning
- learning algorithm
- vc dimension
- training examples
- kernel methods
- cross validation
- ensemble learning
- loss function
- model selection
- feature selection
- svm classifier
- multi label
- radial basis function
- supervised learning
- classification accuracy
- generalization bounds
- neural network
- transfer learning
- learning experience
- training algorithm
- multi task learning