354 search results - page 10 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
71
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In emotion recognition, a widely-used method to reconciliate disagreement between multiple human evaluators is to perform majority-voting on their assigned class labels. Instead, ...
85
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...