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194
Voted
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
179
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Intuitively, learning should be easier when the data points lie on a low-dimensional submanifold of the input space. Recently there has been a growing interest in algorithms that ...
197
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...
176
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
190
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...