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ICML
2009
IEEE
16 years 5 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
149
Voted
WWW
2009
ACM
16 years 5 months ago
Large scale multi-label classification via metalabeler
The explosion of online content has made the management of such content non-trivial. Web-related tasks such as web page categorization, news filtering, query categorization, tag r...
Lei Tang, Suju Rajan, Vijay K. Narayanan
139
Voted
WWW
2008
ACM
16 years 5 months ago
Extraction and mining of an academic social network
This paper addresses several key issues in extraction and mining of an academic social network: 1) extraction of a researcher social network from the existing Web; 2) integration ...
Jie Tang, Jing Zhang, Limin Yao, Juan-Zi Li
WWW
2007
ACM
16 years 5 months ago
Towards domain-independent information extraction from web tables
Traditionally, information extraction from web tables has focused on small, more or less homogeneous corpora, often based on assumptions about the use of <table> tags. A mul...
Bernhard Krüpl, Bernhard Pollak, Marcus Herzo...
118
Voted
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 5 months ago
Co-evolution of social and affiliation networks
In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
Elena Zheleva, Hossam Sharara, Lise Getoor