Dynamic decision networks for decision-making in self-adaptive systems a case study

Bayesian decision theory is increasingly applied to support decision-making processes under environmental variability and uncertainty. Researchers from application areas like psychology and biomedicine have applied these techniques successfully. However, in the area of software engineering and speci...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems s. 113 - 122
Hlavní autoři:	Bencomo, Nelly, Belaggoun, Amel, Issarny, Valerie
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Piscataway, NJ, USA IEEE Press 20.05.2013
Edice:	ACM Conferences
Témata:	Applied computing Applied computing > Operations research Applied computing > Operations research > Decision analysis Computing methodologies Computing methodologies > Artificial intelligence Computing methodologies > Artificial intelligence > Knowledge representation and reasoning Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Probabilistic reasoning Computing methodologies > Machine learning Computing methodologies > Machine learning > Learning paradigms Computing methodologies > Machine learning > Learning paradigms > Unsupervised learning Computing methodologies > Machine learning > Learning paradigms > Unsupervised learning > Motif discovery Information systems Information systems > Information systems applications Information systems > Information systems applications > Computing platforms Information systems > Information systems applications > Decision support systems dynamic decision networks self-adaptive systems uncertainty modeling bayesian networks
ISBN:	9781467344012, 146734401X
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!