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ENC
2003
IEEE
16 years 10 days ago
Metrics for Symbol Clustering from a Pseudoergodic Information Source
We discuss a set of metrics, which aims to facilitate the formation of symbol groups from a pseudoergodic information source. An optimal codification can then be applied on the sy...
Angel Fernando Kuri Morales, Oscar Herrera-Alcanta...
SBACPAD
2004
IEEE
124views Hardware» more  SBACPAD 2004»
15 years 8 months ago
Improving Parallel Execution Time of Sorting on Heterogeneous Clusters
The aim of the paper is to introduce techniques in order to optimize the parallel execution time of sorting on heterogeneous platforms (processors speeds are related by a constant...
Christophe Cérin, Michel Koskas, Hazem Fkai...
ACL
1998
15 years 8 months ago
A Stochastic Language Model using Dependency and Its Improvement by Word Clustering
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
Shinsuke Mori, Makoto Nagao
BMCBI
2006
90views more  BMCBI 2006»
15 years 7 months ago
Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data
Background: Trait heterogeneity, which exists when a trait has been defined with insufficient specificity such that it is actually two or more distinct traits, has been implicated...
Tricia A. Thornton-Wells, Jason H. Moore, Jonathan...
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 7 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...