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» On the Consistency of Ranking Algorithms
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SIAMSC
2011
219views more  SIAMSC 2011»
13 years 2 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
CVPR
2010
IEEE
13 years 8 months ago
Illumination compensation based change detection using order consistency
We present a change detection method resistant to global and local illumination variations for use in visual surveillance scenarios. Approaches designed thus far for robustness to...
Vasu Parameswaran, Maneesh Singh, Visvanathan Rame...
SIGIR
2008
ACM
13 years 7 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
BIOINFORMATICS
2007
151views more  BIOINFORMATICS 2007»
13 years 8 months ago
A new protein-protein docking scoring function based on interface residue properties
Motivation: Protein–protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low s...
Julie Bernauer, Jérôme Azé, Jo...
STOC
2005
ACM
127views Algorithms» more  STOC 2005»
14 years 8 months ago
Aggregating inconsistent information: ranking and clustering
Nir Ailon, Moses Charikar, Alantha Newman