1605 search results - page 72 / 321 » Metric Learning to Rank |
CIKM
2011
Springer
12 years 10 months ago
2011
Springer
SIGIR
2012
ACM
12 years 12 days ago
2012
ACM
DAGM
2007
Springer
14 years 4 months ago
2007
Springer
We propose an unsupervised “local learning” algorithm for learning a metric in the input space. Geometrically, for a given query point, the algorithm finds the minimum volume ...
ICTAI
2006
IEEE
14 years 4 months ago
2006
IEEE
Existing work shows that classic decision trees have inherent deficiencies in obtaining a good probability-based ranking (e.g. AUC). This paper aims to improve the ranking perfor...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...