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» A Simple Abstraction for Data Modeling
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129
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UAI
1998
15 years 7 months ago
Learning Mixtures of DAG Models
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...
Bo Thiesson, Christopher Meek, David Maxwell Chick...
162
Voted
ER
2010
Springer
146views Database» more  ER 2010»
15 years 4 months ago
Data Modeling Is Important for SOA
The promise of SOA is being held back by a lack of rigor with XSD interchange files. Many developers focus on the design of individual services and pay little attention to how the ...
Michael R. Blaha
VISAPP
2010
15 years 3 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
ER
2010
Springer
168views Database» more  ER 2010»
15 years 4 months ago
Complexity of Reasoning over Temporal Data Models
Abstract. We investigate the computational complexity of reasoning over temporal extensions of conceptual data models. The temporal conceptual models we analyse include the standar...
Alessandro Artale, Roman Kontchakov, Vladislav Ryz...
ALT
2002
Springer
16 years 2 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt