Refined Probabilistic Abstraction
By (author) Bjorn Wachter
Paperback (Published)
(January 2011)
ISBN: 9783832527648
5.71 x 8.27 inches
Price: $55.00
Out of stock
Computer networks and embedded systems are ubiquitous and critical parts of our daily life. Therefore performance and reliability guarantees for these systems are crucial. To this end, versatile probabilistic modelling and analysis techniques have been developed. However existing probabilistic analysis methods are inherently limited to small systems. This dissertation introduces a new probabilistic analysis method that scales to large and even infinite systems which are far out of reach of previous methods. The key idea is to approximate a given system by a smaller abstraction which is refined automatically until sufficient precision has been achieved. The thesis discusses the various foundational and practical challenges involved in developing this method, as well as its effectiveness in practice.
- By (author) Bjorn Wachter
Similar Books
Care in an Era of New Technologies and Artificial Intelligence
Relationships in a Connected World
Volume 14
Buchblogs zwischen Passion und Profession
Zur Diskursivierung digitaler literaturbezogener Anschlusskommunikation als Arbeit
Volume 5
Proceedings of the 7th Symposium of the Hellenic Society for Archaeometry
Archaeology Archaeometry: 30 Years Later
Die Einfuhrung ins richtige Handeln in der Arithmetik (Madhal ar-rasad ila ‘ilm al-‘adad) von al-Qalasadi (st. 1486)
Bearbeitung und Einordnung in die magribinische Mathematikgeschichte
Volume 19
I disegni e i discorsi di Giovanni Antonio Nigrone vol. I
fontanaro e ingegniero de acqua (1585-1609 ca.)
Volume 481
I disegni e i discorsi di Giovanni Antonio Nigrone vol. II
Fontanaro e ingegniero de acqua (1585-1609 ca.)
Volume 497
Analysing Data from Capacitive Floor Sensors for Human Gait Assessment Using Artificial Neural Networks
Volume 5
Modeling Methods for Process Induced Distortions of CFRP-Parts produced in the Prepreg-Autoclave-Process
Volume 20
Performance Management in Humanitarian Logistics
Development of a Process-driven and IT-supported Performance Measurement System
Volume 66
Supporting Operational and Real-time Planning Tasks of Road Freight Transport with Machine Learning
Guiding the Implementation of Machine Learning Algorithms
Volume 69
