𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Continuous process improvement using Bayesian belief networks

✍ Scribed by Nigel D.C. Lewis


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
275 KB
Volume
37
Category
Article
ISSN
0360-8352

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Entropy and MDL discretization of contin
✍ Ellis J. Clarke; Bruce A. Barton πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 313 KB πŸ‘ 2 views

An efficient algorithm for partitioning the range of a continuous variable to a discrete Ε½ . number of intervals, for use in the construction of Bayesian belief networks BBNs , is presented here. The partitioning minimizes the information loss, relative to the number of intervals used to represent t

The computational complexity of probabil
✍ Gregory F. Cooper πŸ“‚ Article πŸ“… 1990 πŸ› Elsevier Science 🌐 English βš– 708 KB

Bayesian belief networks provide a natural, efficient method for representing probabilistic dependencies among a set of variables. For these reasons, numerous researchers are exploring the use of belief networks as a knowledge representation m artificial intelligence. Algorithms have been developed