Dimension reduction for supervised ordering

被引：0

作者：

Kamishima, Toshihiro ^{[1
]}

Akaho, Shotaro ^{[1
]}

机构：

[1] Natl Inst Adv Ind Sci & Technol, AIST Tsukuba Cent 2, Umezono 1-1-1, Tsukuba, Ibaraki 3058568, Japan

来源：

ICDM 2006: SIXTH INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS | 2006年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：330 / +

页数：3

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