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COLING
2008
15 years 2 months ago
Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
Word clustering is a conventional and important NLP task, and the literature has suggested two kinds of approaches to this problem. One is based on the distributional similarity a...
Nobuhiro Kaji, Masaru Kitsuregawa
88
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APVIS
2008
15 years 2 months ago
Energy-Based Hierarchical Edge Clustering of Graphs
Effectively visualizing complex node-link graphs which depict relationships among data nodes is a challenging task due to the clutter and occlusion resulting from an excessive amo...
Hong Zhou, Xiaoru Yuan, Weiwei Cui, Huamin Qu, Bao...
JPDC
2008
92views more  JPDC 2008»
15 years 17 days ago
Techniques for pipelined broadcast on ethernet switched clusters
By splitting a large broadcast message into segments and broadcasting the segments in a pipelined fashion, pipelined broadcast can achieve high performance in many systems. In thi...
Pitch Patarasuk, Xin Yuan, Ahmad Faraj
68
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COLING
2000
15 years 1 months ago
Learning Word Clusters from Data Types
The paper illustrates a linguistic knowledge acquisition model making use of data types, innite memory, and an inferential mechanism for inducing new information from known data. ...
Paolo Allegrini, Simonetta Montemagni, Vito Pirrel...
CPHYSICS
2008
64views more  CPHYSICS 2008»
15 years 20 days ago
Multibondic cluster algorithm for finite-size scaling studies of critical phenomena
For finite-size scaling studies of second-order phase transitions the critical energy range of interest is usually larger than the energy range covered by a canonical Monte Carlo ...
Bernd A. Berg, Wolfhard Janke