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NIPS
1998
15 years 2 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
COOPIS
2004
IEEE
15 years 5 months ago
Security Management Through Overloading Views
The model of overloading views is a facility allowing the programmer to separate some kinds of crosscutting concerns that occur during design, implementation and maintenance of dat...
Radoslaw Adamus, Kazimierz Subieta
NIPS
1998
15 years 2 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
WAIM
2009
Springer
15 years 8 months ago
Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data
Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggrega...
Shuxiang Yang, Wenjie Zhang, Ying Zhang, Xuemin Li...
SAC
2008
ACM
15 years 1 months ago
Model-driven development of component-based adaptive distributed applications
This paper introduces an approach to develop componentbased adaptive distributed applications. Our approach separates the communication and the functional aspects of a distributed...
An Phung-Khac, Antoine Beugnard, Jean-Marie Gillio...