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CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 10 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
CIKM
2007
Springer
15 years 9 months ago
Optimizing parallel itineraries for knn query processing in wireless sensor networks
Spatial queries for extracting data from wireless sensor networks are important for many applications, such as environmental monitoring and military surveillance. One such query i...
Tao-Young Fu, Wen-Chih Peng, Wang-Chien Lee
JASIS
2008
76views more  JASIS 2008»
15 years 3 months ago
Using importance flooding to identify interesting networks of criminal activity
Abstract. In spite of policy concerns and high costs, the law enforcement community is investing heavily in data sharing initiatives. Cross-jurisdictional criminal justice informat...
Byron Marshall, Hsinchun Chen, Siddharth Kaza
ERCIMDL
2008
Springer
112views Education» more  ERCIMDL 2008»
15 years 5 months ago
Releasing the Power of Digital Metadata: Examining Large Networks of Co-related Publications
Bibliographic metadata plays a key role in scientific literature, not only to summarise and establish the facts of the publication record, but also to track citations between publ...
David Tarrant, Les Carr, Terry R. Payne
NIPS
2007
15 years 4 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun