Optimizing Text Quantifiers for Multivariate Loss Functions.
Andrea EsuliFabrizio SebastianiPublished in: ERCIM News (2015)
Keyphrases
- loss function
- pairwise
- support vector
- logistic regression
- squared error
- loss minimization
- empirical risk
- risk minimization
- learning to rank
- boosting algorithms
- hinge loss
- information retrieval
- reproducing kernel hilbert space
- convex loss functions
- square loss
- direct optimization
- text documents
- multi class
- support vector machine
- natural language
- decision trees