Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
: The success and the acceptance of intrusion detection systems essentially depend on the accuracy of their analysis. Inaccurate signatures strongly trigger false alarms. In practi...
Execution-driven simulators are often used for power/energy and performance evaluation. Simulators can provide semantic details but they provide insufficient speed and accuracy f...
We present a report on work in progress on certain aspects of a programme of research concerned with building formal, mathematical models both for aspects of the computational pro...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...