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154
Voted
PR
2006
15 years 5 months ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
146
Voted
CORR
2007
Springer
15 years 5 months ago
2007
Springer
In recent years, considerable advances have been made in the study of properties of metric spaces in terms of their doubling dimension. This line of research has not only enhanced...
175
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ICDM
2009
IEEE
15 years 2 months ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
170
Voted
GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
156
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BIBE
2006
IEEE
15 years 11 months ago
2006
IEEE
Discerning the similarity between two molecules is a challenging problem in drug discovery as well as in molecular biology. The importance of this problem is due to the fact that ...