Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...
Given a large, real graph, how can we generate a synthetic graph that matches its properties, i.e., it has similar degree distribution, similar (small) diameter, similar spectrum,...
PageRank-style authority analyses of Web graphs are of great importance for Web mining. Such authority analyses also apply to hot “Web 2.0” applications that exhibit a natural...
Josiane Xavier Parreira, Sebastian Michel, Matthia...
Dependable digital signing service requires both high fault-tolerance and high intrusion-tolerance. While providing high fault-tolerance, existing approaches do not satisfy the hig...
Guofei Gu, Prahlad Fogla, Wenke Lee, Douglas M. Bl...