  Often pieces of information are received sequentially over time. When did one
collect enough such pieces to classify? Trading wait time for decision
certainty leads to early classification problems that have recently gained
attention as a means of adapting classification to more dynamic environments.
However, so far results have been limited to unimodal sequences. In this pilot
study, we expand into early classifying multimodal sequences by combining
existing methods. We show our new method yields experimental AUC advantages of
up to 8.7%.
