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ICML
2009
IEEE
16 years 14 days 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
WWW
2009
ACM
16 years 10 days ago
Large scale integration of senses for the semantic web
Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues du...
Jorge Gracia, Mathieu d'Aquin, Eduardo Mena
SIGIR
2009
ACM
15 years 6 months ago
Automatic video tagging using content redundancy
The analysis of the leading social video sharing platform YouTube reveals a high amount of redundancy, in the form of videos with overlapping or duplicated content. In this paper,...
Stefan Siersdorfer, José San Pedro, Mark Sa...
ICDCSW
2005
IEEE
15 years 5 months ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
INLG
2004
Springer
15 years 5 months ago
Generating Referring Expressions Using Perceptual Groups
Past work of generating referring expressions mainly utilized attributes of objects and binary relations between objects to distinguish the referent from other objects. However, su...
Kotaro Funakoshi, Satoru Watanabe, Naoko Kuriyama,...