Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...
This paper explores the use of two complementary approaches, each stemming from Personal Construct Theory (PCT), to investigate the interdependence of organizations and informatio...
Laurence Brooks, Christopher J. Davis, Mark Lycett
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential to significantly impro...
Abstract. Malware attacks necessitate extensive forensic analysis efforts that are manual-labor intensive because of the analysis-resistance techniques that malware authors employ....