Optimizing Text Quantifiers for Multivariate Loss Functions.
Andrea EsuliFabrizio SebastianiPublished in: ACM Trans. Knowl. Discov. Data (2015)
Keyphrases
- loss function
- pairwise
- learning to rank
- loss minimization
- logistic regression
- support vector
- squared error
- risk minimization
- text mining
- reproducing kernel hilbert space
- convex loss functions
- natural language
- update rules
- information retrieval
- markov random field
- regression model
- support vector machine
- text documents
- hinge loss
- empirical risk
- directly optimize
- direct optimization