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10

ICDM
2006
IEEE

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Dimension Reduction for Supervised Ordering

14 years 9 days ago

Dimension Reduction for Supervised Ordering

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Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal data are being developed, particularly methods for a supervised ordering task: i.e., learning functions used to sort objects from sample orders. In this article, we propose two dimension reduction methods speciﬁcally designed to improve prediction performance in a supervised ordering task.

Toshihiro Kamishima, Shotaro Akaho

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Data Mining | Dimension Reduction Methods | ICDM 2006 | Such Ordered Objects | Supervised Ordering Task |

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Added	11 Jun 2010
Updated	11 Jun 2010
Type	Conference
Year	2006
Where	ICDM
Authors	Toshihiro Kamishima, Shotaro Akaho

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