1391 search results - page 68 / 279 » Labeling Clusters - Tagging Resources |
TNN
2010
13 years 3 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
ACL
2008
13 years 10 months ago
2008
We apply the hypothesis of "One Sense Per Discourse" (Yarowsky, 1995) to information extraction (IE), and extend the scope of "discourse" from one single docum...
TCS
2011
13 years 3 months ago
2011
An active learner has a collection of data points, each with a label that is initially hidden but can be obtained at some cost. Without spending too much, it wishes to find a cla...
ICASSP
2011
IEEE
13 years 17 days ago
2011
IEEE
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
HT
2000
ACM
14 years 1 months ago
2000
ACM
Clustering separates unrelated documents and groups related documents, and is useful for discrimination, disambiguation, summarization, organization, and navigation of unstructure...