Research in the fields of software quality, maintainability and evolution requires the analysis of large quantities of data, which often originate from open source software proje...
: To understand overall vulnerability to network attack, one must consider attacker exploits not just in isolation, but also in combination. That is, one must analyze how low-level...
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Analysis of network traffic is becoming increasingly important, not just for determining network characteristics and anticipating requirements, but also for security analysis. Sev...
Carrie Gates, Michael Collins, Michael Duggan, And...