Incorporating prior information into Support Vector Machines in the form of ellipsoidal knowledge sets.
Jean-Baptiste PothinCédric RichardPublished in: EUSIPCO (2006)
Keyphrases
- large margin classifiers
- prior information
- support vector
- prior knowledge
- bayesian inference
- hyperparameters
- learning algorithm
- domain knowledge
- learning machines
- expert systems
- knowledge representation
- knowledge discovery
- knowledge sharing
- loss function
- support vector machine
- knowledge base
- prior probabilities
- prior models
- feature selection
- knowledge management
- background knowledge
- knowledge sources
- cross validation
- svm classifier
- design process
- generative model
- knowledge acquisition