Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
Bounded model checking--as well as symbolic equivalence checking--are highly successful techniques in the hardware domain. Recently, bit-vector bounded model checkers like CBMC ha...
This paper presents a novel method for audio event classi cation in overlapping conditions. The method is based on Jump Function Kolmogorov (JFK), a stochastic representation, whi...
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
hex programs were originally introduced as a general framework for extending declarative logic programming, under the stable model semantics, with the possibility of bidirectional...
Selen Basol, Ozan Erdem, Michael Fink, Giovambatti...