Combining Evaluation Metrics via Loss Functions.
Calandra Rilette TateClare R. VossPublished in: AMTA (2006)
Keyphrases
- loss function
- evaluation metrics
- learning to rank
- precision and recall
- average precision
- pairwise
- evaluation measures
- support vector
- squared error
- loss minimization
- risk minimization
- relevance judgments
- reproducing kernel hilbert space
- information retrieval
- information extraction
- learning to rank algorithms
- pairwise constraints
- boosting algorithms
- ranking functions
- supervised learning
- multimedia