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ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 6 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
ISCI
2007
151views more  ISCI 2007»
15 years 6 months ago
Enriching the ER model based on discovered association rules
The entity–relationship (ER) model, a powerful means for business and data modeling, needs to be enriched with new semantics as the real world changes and its understanding impr...
Guoqing Chen, Ming Ren, Peng Yan, Xunhua Guo
PR
2002
121views more  PR 2002»
15 years 6 months ago
Statistical correlation analysis in image retrieval
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided r...
Mingjing Li, Zheng Chen, HongJiang Zhang
ICDE
2009
IEEE
125views Database» more  ICDE 2009»
15 years 4 months ago
Metric Functional Dependencies
When merging data from various sources, it is often the case that small variations in data format and interpretation cause traditional functional dependencies (FDs) to be violated,...
Nick Koudas, Avishek Saha, Divesh Srivastava, Sure...
SIGMOD
2009
ACM
141views Database» more  SIGMOD 2009»
16 years 7 months ago
FlexRecs: expressing and combining flexible recommendations
Recommendation systems have become very popular but most recommendation methods are `hard-wired' into the system making experimentation with and implementation of new recomme...
Georgia Koutrika, Benjamin Bercovitz, Hector Garci...