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» Metric Learning to Rank
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SIGIR
2008
ACM
15 years 3 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»
15 years 3 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»
15 years 8 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
15 years 8 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
16 years 5 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