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» Complexity of Inference in Graphical Models
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AGTIVE
2007
Springer
13 years 11 months ago
Generating Domain-Specific Model Editors with Complex Editing Commands
Abstract. Domain specific modeling languages are of increasing importance for the development of software and other systems. Meta tools are needed to support rapid development of d...
Gabriele Taentzer, André Crema, René...
JMLR
2010
159views more  JMLR 2010»
13 years 2 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
EOR
2007
78views more  EOR 2007»
13 years 7 months ago
Heuristic modeling of expectation formation in a complex experimental information environment
Academic subjects made judgmental forecasts of a graphically presented time series in a laboratory experiment. Besides the past realizations of the time series itself, the only av...
Otwin Becker, Johannes Leitner, Ulrike Leopold-Wil...
DCC
2005
IEEE
14 years 7 months ago
Coding the Wavelet Spatial Orientation Tree with Low Computational Complexity
ct A very fast, low complexity algorithm for resolution scalable and random access decoding is presented. The algorithm is based on AGP (Alphabet and Group Partitioning) [1], where...
Yushin Cho, Amir Said, William A. Pearlman
ACSAC
2005
IEEE
14 years 1 months ago
Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...
Steven Noel, Sushil Jajodia