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NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
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 ...
Xavier Boyen, Daphne Koller
WSC
1997
15 years 8 months ago
Forecasting Investment Opportunities Through Dynamic Simulation
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...
Stephen R. Parker
ECIS
2004
15 years 8 months ago
Change management: the contribution of personal construct theory (PCT)
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
AI
2000
Springer
15 years 6 months ago
On agent-based software engineering
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...
Nicholas R. Jennings
RAID
2010
Springer
15 years 5 months ago
Hybrid Analysis and Control of Malware
Abstract. Malware attacks necessitate extensive forensic analysis efforts that are manual-labor intensive because of the analysis-resistance techniques that malware authors employ....
Kevin A. Roundy, Barton P. Miller