This is the first edited book that deals with the special topic
of signals and images within Case-Based Reasoning (CBR).
Signal-interpreting systems are becoming increasingly popular in
medical, industrial, ecological, biotechnological and many other
applications. Existing statistical and knowledge-based techniques
lack robustness, accuracy and flexibility. New strategies are
needed that can adapt to changing environmental conditions, signal
variation, user needs and process requirements. Introducing CBR
strategies into signal-interpreting systems can satisfy these
requirements.
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