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» Ranking hubs and authorities using matrix functions
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ICML
2008
IEEE
14 years 8 months ago
Listwise approach to learning to rank: theory and algorithm
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...
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Ha...
ICML
2009
IEEE
14 years 8 months ago
Generalization analysis of listwise learning-to-rank algorithms
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li
ICS
2007
Tsinghua U.
14 years 1 months ago
Representation-transparent matrix algorithms with scalable performance
Positive results from new object-oriented tools for scientific programming are reported. Using template classes, abstractions of matrix representations are available that subsume...
Peter Gottschling, David S. Wise, Michael D. Adams
CIKM
2009
Springer
14 years 7 days ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
ICIP
2003
IEEE
14 years 27 days ago
Inter-camera color calibration by correlation model function
We present a novel solution to the inter-camera color calibration problem, which is very important for multi-camera systems. We propose a distance metric and a model function to e...
Fatih Murat Porikli