Abstract: This paper addresses the problem of equivalence veriļ¬cation of RTL descriptions that implement arithmetic computations (add, mult, shift) over bitvectors that have diļ¬...
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
Abstract. This paper argues that ļ¬atness appears as a central notion in the veriļ¬cation of counter automata. A counter automaton is called ļ¬at when its control graph can be ā...
Genetic algorithms require relatively large computation time to solve optimization problems, especially in VLSI CAD such as module placement. Therefore, island-based parallel GAs a...
Experience-based Information Systems (EbIS) enable organizations to capture, store and reuse knowledge and experiences for continuous competence development. However, there are sev...