We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical popula...
Abstract--This paper considers the discovery of trading decision models from high-frequency foreign exchange (FX) markets data using genetic programming (GP). It presents a domain-...
Siddhartha Bhattacharyya, Olivier V. Pictet, Gille...
PERG is a pattern matching engine designed for locating predefined byte string patterns (rules) from the ClamAV virus signature database in a data stream. This paper presents PERG...
This paper presents the prediction-preserving reducibility with membership queries (pwm-reducibility) on formal languages, in particular, simple CFGs and finite unions of regular ...
Pattern matching is the most computation intensive task of a network intrusion detection system (NIDS). In this paper we present a hardware architecture to speed up the pattern mat...