Network coding is an elegant and novel technique introduced at the turn of the millennium to improve network throughput and performance. It is expected to be a critical technology...
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
: Desktop management is probably the most resource-consuming task for the typical operations and support team, regardless of being frequently overlooked as not as complex or specia...
The paper presents an analysis of the possibilities of defining penalty functions to be used in SLA management frameworks. As a basis for the analysis, a brief survey of metrics u...
Jacek Kosinski, Dominik Radziszowski, Krzysztof Zi...
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...