ONLINE PRIVACY-PRESERVING EEG CLASSIFICATION BY SOURCE-FREE TRANSFER LEARNING



Burst ratio for a versatile traffic model.

We deal with a finite-buffer queue, in which arriving jobs are subject to loss due to buffer overflows.The burst ratio click here parameter, which reflects the tendency of losses to form long series, is studied in detail.Perhaps the most versatile model of the arrival stream is used, i.e.the batch Markovian arrival process (BMAP).Among other things

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