Never-stop Learning: continuous validation of learned models for evolving systems through monitoring
Bertolino A., Calabrò A., Merten M., Steffen B.
Evolving Systems Web services Monitoring Learning
Interoperability among the multitude of heterogeneous and evolving networked systems made available as black boxes remains a tough challenge. Learning technology is increasingly employed to extract behavioural models that form the basis for systems of systems integration. However, as networked systems evolve, their learned models need to evolve as well. This can be achieved by collecting actual interactions via monitoring and using these observations to continuously refine the learned behavioural models and, in turn, the overall system. This approach is part of the overall CONNECT approach.
Source: ERCIM news 88 (2012): 28–29.
Publisher: ERCIM., Le Chesnay
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@article{oai:it.cnr:prodotti:275269,
title = {Never-stop Learning: continuous validation of learned models for evolving systems through monitoring},
author = {Bertolino A. and Calabrò A. and Merten M. and Steffen B.},
publisher = {ERCIM., Le Chesnay},
journal = {ERCIM news},
volume = {88},
pages = {28–29},
year = {2012}
}
0000-0001-8749-1356
