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» Learning from Multiple Sources of Inaccurate Data
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ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 5 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
IJDMMM
2008
124views more  IJDMMM 2008»
13 years 7 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...
IRI
2008
IEEE
14 years 1 months ago
Robust integration of multiple information sources by view completion
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
Shankara B. Subramanya, Baoxin Li, Huan Liu
SGAI
2009
Springer
14 years 2 months ago
From Source Code to Runtime Behaviour: Software Metrics Help to Select the Computer Architecture
The decision which hardware platform to use for a certain application is an important problem in computer architecture. This paper reports on a study where a data-mining approach i...
Frank Eichinger, David Kramer, Klemens Böhm, ...
CIKM
2008
Springer
13 years 9 months ago
Transfer learning from multiple source domains via consensus regularization
:
Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, ...