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» Word Importance Discrimination Using Context Information
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RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
COLING
2000
14 years 11 months ago
Text Genre Detection Using Common Word Frequencies
In this paper we present a method for detecting the text genre quickly and easily following an approach originally proposed in authorship attribution studies which uses as style m...
Efstathios Stamatatos, Nikos Fakotakis, George K. ...
71
Voted
NIPS
2007
14 years 11 months ago
Discriminative Keyword Selection Using Support Vector Machines
Many tasks in speech processing involve classification of long term characteristics of a speech segment such as language, speaker, dialect, or topic. A natural technique for dete...
William M. Campbell, Fred S. Richardson
PAMI
2008
190views more  PAMI 2008»
14 years 9 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
BTW
2005
Springer
90views Database» more  BTW 2005»
14 years 11 months ago
The Importance of Being Earnest about Definitions
: Ideas from terminology management, the science of terms and definitions, can be used to improve the quality of software and data models, as well as to facilitate the achievement ...
Susan Thomas