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» Modelling of Complex Supply Networks
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ISNN
2007
Springer
15 years 4 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
JMLR
2010
202views more  JMLR 2010»
14 years 4 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
ICPP
1992
IEEE
15 years 2 months ago
Adaptive Binary Sorting Schemes and Associated Interconnection Networks
Many routing problems in parallel processing, such as concentration and permutation problems, can be cast as sorting problems. In this paper, we consider the problem of sorting on ...
Minze V. Chien, A. Yavuz Oruç
BMCBI
2008
201views more  BMCBI 2008»
14 years 10 months ago
A copula method for modeling directional dependence of genes
Background: Genes interact with each other as basic building blocks of life, forming a complicated network. The relationship between groups of genes with different functions can b...
Jong-Min Kim, Yoon-Sung Jung, Engin A. Sungur, Kap...
ICEIS
2002
IEEE
15 years 2 months ago
Integrating Mobile Agent Infrastructures in Operational ERP Systems
: In this paper we present our most recent work carried out in the wider context of the IST-ADRENALIN project, to facilitate formation and lifecycle management of networked enterpr...
Apostolos Vontas, Philippos Koutsakas, Christina A...