523 search results - page 12 / 105 » Metric Learning for Text Documents |
CIKM
2006
Springer
15 years 3 months ago
2006
Springer
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
CICLING
2004
Springer
15 years 4 months ago
2004
Springer
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
123
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SMC
2010
IEEE
14 years 9 months ago
2010
IEEE
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
118
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JMLR
2012
13 years 1 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
PRIS
2004
15 years 21 days ago
2004
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...