Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
We introduce a data structure for program execution under a limited oblivious execution model. For fully oblivious execution along the lines of Goldreich and Ostrovsky [2], one tr...
Avinash V. Varadarajan, Ramarathnam Venkatesan, C....
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Remote code injection exploits inflict a significant societal cost, and an active underground economy has grown up around these continually evolving attacks. We present a method...
Justin Ma, John Dunagan, Helen J. Wang, Stefan Sav...
Abstract. Recently, there has been an outburst of interest in extending topographic maps of vectorial data to more general data structures, such as sequences or trees. The represen...