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70
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ICML
2008
IEEE
15 years 10 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...
84
Voted
ICML
1998
IEEE
15 years 10 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
80
Voted
WWW
2007
ACM
15 years 10 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...
70
Voted
SAS
2009
Springer
162views Formal Methods» more  SAS 2009»
15 years 10 months ago
Interval Polyhedra: An Abstract Domain to Infer Interval Linear Relationships
Polyhedra: An Abstract Domain to Infer Interval Linear Relationships Liqian Chen1,2 , Antoine Min?e2,3 , Ji Wang1 , and Patrick Cousot2,4 1 National Laboratory for Parallel and Dis...
Antoine Miné, Ji Wang, Liqian Chen, Patrick...
MOBIHOC
2006
ACM
15 years 9 months ago
Distributed localization using noisy distance and angle information
Localization is an important and extensively studied problem in ad-hoc wireless sensor networks. Given the connectivity graph of the sensor nodes, along with additional local info...
Amitabh Basu, Jie Gao, Joseph S. B. Mitchell, Giri...