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CIKM
2008
Springer
13 years 11 months ago
2008
Springer
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
CSDA
2010
13 years 9 months ago
2010
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
ICASSP
2011
IEEE
13 years 18 days ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
AAAI
2012
11 years 11 months ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...