Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test

Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai +1

Time-sensitive machine learning benefits from Sequential Probability Ratio Test (SPRT), which provides an optimal stopping time for early classification of time series. However, in…