1605 search results - page 72 / 321 » Metric Learning to Rank |
128
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DAGM
2007
Springer
16 years 11 days ago
2007
Springer
We propose an unsupervised “local learning” algorithm for learning a metric in the input space. Geometrically, for a given query point, the algorithm finds the minimum volume ...
150
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ICTAI
2006
IEEE
16 years 7 days ago
2006
IEEE
Existing work shows that classic decision trees have inherent deficiencies in obtaining a good probability-based ranking (e.g. AUC). This paper aims to improve the ranking perfor...
179
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...