2 papers
cs.LG2023
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification
Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai +1
Theoretically-inspired sequential density ratio estimation (SDRE) algorithms are proposed for the early classification of time series. Conventional SDRE algorithms can fail to esti…
cs.LG2022
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
Azusa Sawada, Taiki Miyagawa, Akinori F. Ebihara +2
Time series data are often obtained only within a limited time range due to interruptions during observation process. To classify such partial time series, we need to account for 1…