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» Modeling Dependable Systems using Hybrid Bayesian Networks
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CONEXT
2007
ACM
14 years 25 days ago
Proactive replication in distributed storage systems using machine availability estimation
Distributed storage systems provide data availability by means of redundancy. To assure a given level of availability in case of node failures, new redundant fragments need to be ...
Alessandro Duminuco, Ernst Biersack, Taoufik En-Na...
NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
AC
2005
Springer
13 years 8 months ago
The state of artificial intelligence
Artificial intelligence has been an active branch of research for computer scientists and psychologists for 50 years. The concept of mimicking human intelligence in a computer fue...
Adrian A. Hopgood
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 16 days ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
CODES
2007
IEEE
14 years 3 months ago
HySim: a fast simulation framework for embedded software development
Instruction Set Simulation (ISS) is widely used in system evaluation and software development for embedded processors. Despite the significant advancements in the ISS technology,...
Stefan Kraemer, Lei Gao, Jan Weinstock, Rainer Leu...