1400 search results - page 121 / 280 » Bayesian hierarchical clustering |
171
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ICDM
2007
IEEE
16 years 18 days ago
2007
IEEE
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
151
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CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
168
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NECO
2002
15 years 6 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
123
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PODS
2005
ACM
16 years 6 months ago
2005
ACM
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
165
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WEBI
2009
Springer
16 years 26 days ago
2009
Springer
We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed “full-subtopic retrieval”. To solve this problem we pres...