  An automated, rapid classification of transient events detected in the modern
synoptic sky surveys is essential for their scientific utility and effective
follow-up using scarce resources. This problem will grow by orders of magnitude
with the next generation of surveys. We are exploring a variety of novel
automated classification techniques, mostly Bayesian, to respond to these
challenges, using the ongoing CRTS sky survey as a testbed. We describe briefly
some of the methods used.
