91 search results - page 3 / 19 » Conditional Models for Non-smooth Ranking Loss Functions |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
NIPS
2003
13 years 9 months ago
2003
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
JMLR
2012
11 years 10 months ago
2012
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...