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» A Graph Based Data Model for Graphics Interpretation
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107
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 3 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
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 11 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
129
Voted
ER
2010
Springer
104views Database» more  ER 2010»
15 years 1 months ago
Provenance Management in BioSciences
: Data provenance is becoming increasingly important for biosciences with the advent of large-scale collaborative environments such as the iPlant collaborative, where scientists co...
Sudha Ram, Jun Liu
108
Voted
ICML
2007
IEEE
16 years 4 months ago
Efficient inference with cardinality-based clique potentials
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi
KBSE
2007
IEEE
15 years 9 months ago
Iterative model-driven development of adaptable service-based applications
Flexibility and interoperability make web services well suited for designing highly-customizable reactive service-based applications, that is interactive applications that can be ...
Leen Lambers, Hartmut Ehrig, Leonardo Mariani, Mau...