Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction.
Sébastien GiguèreFrançois LavioletteMario MarchandKhadidja SyllaPublished in: ICML (1) (2013)
Keyphrases
- risk bounds
- data dependent
- learning algorithm
- empirical risk minimization
- statistical learning theory
- reproducing kernel hilbert space
- regression model
- vc dimension
- model selection
- regression problems
- support vector
- generalization bounds
- learning problems
- generalization ability
- training examples
- learning rate
- learning tasks
- cross validation
- machine learning algorithms
- theoretical analysis
- training data