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ICML
2005
IEEE
16 years 5 months ago
Learning the structure of Markov logic networks
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. In this pap...
Stanley Kok, Pedro Domingos
WWW
2008
ACM
16 years 5 months ago
Which "Apple" are you talking about ?
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Mandar Rahurkar, Dan Roth, Thomas S. Huang
WWW
2008
ACM
16 years 5 months ago
Personalized tag suggestion for flickr
We present a system for personalized tag suggestion for Flickr: While the user is entering/selecting new tags for a particular picture, the system is suggesting related tags to he...
Nikhil Garg, Ingmar Weber
MOBIHOC
2009
ACM
16 years 5 months ago
Fine-grained boundary recognition in wireless ad hoc and sensor networks by topological methods
Location-free boundary recognition is crucial and critical for many fundamental network functionalities in wireless ad hoc and sensor networks. Previous designs, often coarse-grai...
Dezun Dong, Yunhao Liu, Xiangke Liao
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
16 years 5 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek