Learning Structural Knowledge from the ECG
نویسندگان
چکیده
We tackle the problem of discovering, without the “manual” aid of an expert, implicit relations and temporal constraints from a collection of dated events detected on temporally structured signals. The approach associates tightly signal processing and symbolic learning methods. It is illustrated on learning cardiac arrhythmias from ECGs.
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