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78
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CIKM
2008
Springer
14 years 11 months ago
Representative entry selection for profiling blogs
Many applications on blog search and mining often meet the challenge of handling huge volume of blog data, in which one single blog could contain hundreds or even thousands of ent...
Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong ...
62
Voted
JSS
2006
82views more  JSS 2006»
14 years 9 months ago
Packaging experiences for improving testing technique selection
One of the major problems within the software testing area is how to get a suitable set of cases to test a software system. A good set of test cases should assure maximum effectiv...
Sira Vegas, Natalia Juristo Juzgado, Victor R. Bas...
96
Voted
CVPR
2009
IEEE
16 years 4 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
15 years 10 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
IJAR
2010
97views more  IJAR 2010»
14 years 8 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...