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» Metric Learning to Rank
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SIGIR
2008
ACM
13 years 9 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
MANSCI
2006
121views more  MANSCI 2006»
13 years 9 months ago
Methodologies and Algorithms for Group-Rankings Decision
The problem of group ranking, a.k.a. rank aggregation, has been studied in contexts varying from sports, to multi-criteria decision making, to machine learning, to ranking web pag...
Dorit S. Hochbaum, Asaf Levin
DATE
2003
IEEE
109views Hardware» more  DATE 2003»
14 years 3 months ago
A Novel Metric for Interconnect Architecture Performance
We propose a new metric for evaluation of interconnect architectures. This metric is computed by optimal assignment of wires from a given wire length distribution (WLD) to a given...
Parthasarathi Dasgupta, Andrew B. Kahng, Swamy Mud...
ICML
2004
IEEE
14 years 3 months ago
Active learning of label ranking functions
The effort necessary to construct labeled sets of examples in a supervised learning scenario is often disregarded, though in many applications, it is a time-consuming and expensi...
Klaus Brinker
CVPR
2004
IEEE
14 years 12 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade