523 search results - page 50 / 105 » Metric Learning for Text Documents |
KDD
2006
ACM
15 years 11 months ago
2006
ACM
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
SYNASC
2007
IEEE
15 years 5 months ago
2007
IEEE
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
DL
2000
Springer
15 years 3 months ago
2000
Springer
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
115
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GECCO
2007
Springer
15 years 3 months ago
2007
Springer
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
110
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DASFAA
2004
IEEE
15 years 2 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...