Normal view MARC view ISBD view

Bayesian networks and influence diagrams: a guide to construction and analysis

By: Kjaerulff, Uffe B.
Material type: materialTypeLabelBookSeries: Information science and statistics. Publisher: New York Springer 2008Description: xvii, 318 p.ISBN: 9780387741000.Subject(s): Bayesian statistical decision theory | Expert systems (Computer science) | Uncertainty (Information theory)DDC classification: 003.54 Summary: Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. (http://www.springer.com/statistics/computanional+statistics/book/978-0-387-74100-0)
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)

Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. (http://www.springer.com/statistics/computanional+statistics/book/978-0-387-74100-0)

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha