Towards a minimum description length based stopping criterion for semi-supervised time series classification.
IRI(2013)
关键词
biomedical telemetry,learning (artificial intelligence),medical information systems,pattern classification,time series,electrocardiograms,human annotated examples,human labor,intrinsically discrete objects,medical analysis,medical data sources,medical experts,medical telemetry,minimum description length based stopping criterion,parameter-free stopping criterion,semisupervised learning,semisupervised time series classification,single annotated instance,streaming fashion,MDL,Semi-Supervised Learning,Time Series
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