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ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 2 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
ACL
2006
13 years 9 months ago
Bayesian Query-Focused Summarization
We present BAYESUM (for "Bayesian summarization"), a model for sentence extraction in query-focused summarization. BAYESUM leverages the common case in which multiple do...
Hal Daumé III, Daniel Marcu
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 6 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
ISI
2006
Springer
13 years 7 months ago
Inferring Privacy Information from Social Networks
Since privacy information can be inferred via social relations, the privacy confidentiality problem becomes increasingly challenging as online social network services are more popu...
Jianming He, Wesley W. Chu, Zhenyu Liu
JMLR
2010
159views more  JMLR 2010»
13 years 2 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov