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» The Autonomic Computing Paradigm
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AAAI
2007
15 years 7 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
ITSSA
2006
97views more  ITSSA 2006»
15 years 5 months ago
Service Evolution in Bio-Inspired Communication Systems
: An autonomic network must work unsupervised, therefore must be able to respond to unpredictable situations. The BIONETS project is working towards resilient network services that...
Daniele Miorandi, Lidia Yamamoto, Paolo Dini
CVPR
1999
IEEE
16 years 7 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
160
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AINA
2009
IEEE
15 years 12 months ago
Opportunistic Routing for Disruption Tolerant Networks
—Opportunistic networks represent one of the most interesting evolution of MANET paradigm. Generally speaking, opportunistic networks enable user communication in environments wh...
Marcello Caleffi, Luigi Paura
COLING
2010
15 years 1 days ago
Log-linear weight optimisation via Bayesian Adaptation in Statistical Machine Translation
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
Germán Sanchis-Trilles, Francisco Casacuber...