Title: Uncountable realtime probabilistic classes,
Abstract: We investigate the minimum cases for realtime probabilistic machines that can
define uncountably many languages with bounded error. We show that logarithmic
space is enough for realtime PTMs on unary languages. On binary case, we follow
the same result for double logarithmic space, which is tight. When replacing
the worktape with some limited memories, we can follow uncountable results on
unary languages for two counters.