The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
This paper presents our approach to model distributed discrete event simulation systems in the framework of distributed graph transformation. We use distributed typed attributed g...
— Memory-intensive applications present unique challenges to an ASIC designer in terms of the choice of memory organization, memory size requirements, bandwidth and access latenc...
We present a set of reduction rules for LTL model-checking of 1-safe Petri nets. Our reduction techniques are of two kinds: (1) Linear programming techniques which are based on wel...
Abstract-- Multi-agent system is a rapidly developing research area with strong support from both civilian and military applications. One of the essential problems in multi-agent s...