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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
1998
IEEE
14 years 8 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...
WWW
2007
ACM
14 years 8 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...
SAS
2009
Springer
162views Formal Methods» more  SAS 2009»
14 years 8 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
14 years 7 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...