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» Combining Simple Models to Approximate Complex Dynamics
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MEMOCODE
2007
IEEE
14 years 1 months ago
Combining Multi-Valued Logics in SAT-based ATPG for Path Delay Faults
Due to the rapidly growing speed and the decreasing size of gates in modern chips, the probability of faults caused by the production process grows. Already small variations lead ...
Stephan Eggersglüß, Görschwin Fey,...
TIP
2008
133views more  TIP 2008»
13 years 7 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
FUIN
2006
160views more  FUIN 2006»
13 years 7 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
IAT
2005
IEEE
14 years 1 months ago
Complexity of a theory of collective attitudes in teamwork
Our previous research presents a methodology of cooperative problem solving for BDI systems, based on a complete formal theory. This covers both a static part, defining individua...
Marcin Dziubinski, Rineke Verbrugge, Barbara Dunin...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
14 years 1 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...