448 search results - page 11 / 90 » Directly optimizing evaluation measures in learning to rank |
57
Voted
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
IR
2010
14 years 8 months ago
2010
Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
62
Voted
PPSN
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
BMCBI
2004
14 years 9 months ago
2004
Background: Within the peer-reviewed literature, associations between two things are not always recognized until commonalities between them become apparent. These commonalities ca...