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PRL
2000
182views more  PRL 2000»
15 years 6 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
16 years 1 months ago
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. I...
Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yo...
DAGSTUHL
2003
15 years 8 months ago
Components, Features, and Agents in the ABC
Abstract. In this paper, we show how the concepts of objects, components, features and agents are used today in the Agent Building Center (ABC) environment in order to marry the mo...
Tiziana Margaria
SAC
2008
ACM
15 years 6 months ago
Towards a model-driven engineering approach for developing embedded hard real-time software
Model-Driven Engineering (MDE) has been advocated as an effective way to deal with today's software complexity. MDE can be seen as an integrative approach combining existing ...
Fabiano Cruz, Raimundo S. Barreto, Lucas Cordeiro
BMCBI
2006
175views more  BMCBI 2006»
15 years 6 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...