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» A Multi-level Approach for Document Clustering
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NIPS
2007
13 years 10 months ago
Bayesian Agglomerative Clustering with Coalescents
We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman’s coalescent. We develop novel greedy and sequential Monte Carlo inferen...
Yee Whye Teh, Hal Daumé III, Daniel M. Roy
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 10 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger
CICLING
2010
Springer
14 years 3 days ago
A General Bio-inspired Method to Improve the Short-Text Clustering Task
"Short-text clustering" is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In s...
Diego Ingaramo, Marcelo Errecalde, Paolo Rosso
AIIA
2009
Springer
14 years 3 months ago
Mathematical Symbol Indexing
This paper addresses the indexing and retrieval of mathematical symbols from digitized documents. The proposed approach exploits Shape Contexts (SC) to describe the shape of mathe...
Simone Marinai, Beatrice Miotti, Giovanni Soda
ECIR
2006
Springer
13 years 10 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov