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» A Discourse on Complexity of Process Models
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ICASSP
2011
IEEE
14 years 7 months ago
L0 sparse graphical modeling
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
Goran Marjanovic, Victor Solo
99
Voted
ATAL
2007
Springer
15 years 9 months ago
Agent-based model of impact of socioeconomic stressors: a dynamic network perspective
We have developed an agent-based simulation model based on a real case study in the Sekhukhune district of the Limpopo province in South Africa. The work reported here is part of ...
Shah Jamal Alam, Ruth Meyer, Emma Norling
ICASSP
2010
IEEE
15 years 3 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
145
Voted
EUSFLAT
2009
120views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
A Fuzzy-Semiotic Framework for Modeling Imprecision in the Assessment of Depression
This paper presents a new framework to model an assessment process for a complex and multidimensional syndrome such as depression. Since the measurements of depression are inherent...
Mila Kwiatkowska, Krzysztof Kielan, Krzysztof Mich...
130
Voted
DATE
2007
IEEE
133views Hardware» more  DATE 2007»
15 years 9 months ago
Stochastic modeling and optimization for robust power management in a partially observable system
As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we ...
Qinru Qiu, Ying Tan, Qing Wu