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167
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
184
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...
186
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
178
Voted
KDD
2008
ACM
16 years 7 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
181
Voted
KDD
2007
ACM
16 years 7 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...