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Kernel-based function learning in dynamic and non stationary environments
This includes the important exploration-exploitation problems where e. g. a set of agents/robots has to monitor an environment to reconstruct a sensorial field and their movements rules are continuously updated on the basis of the acquired knowledge on the field and/or the surrounding environment.
A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems
The similarities between these biological media and classical ones can also be a drawback, as malicious parties might replicate traditional attacks on the former archival system, using biological instruments and techniques.
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