1771 search results - page 12 / 355 » Bayesian Network Based XP Process Modelling |
AIME
2007
Springer
14 years 24 days ago
2007
Springer
Abstract. Disease processes in patients are temporal in nature and involve uncertainty. It is necessary to gain insight into these processes when aiming at improving the diagnosis,...
SUM
2009
Springer
14 years 3 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
ICWE
2007
Springer
14 years 2 months ago
2007
Springer
The objective of this paper is to describe the use of a probabilistic approach to Web effort estimation by means of a Bayesian Network. A Bayesian Network is a model that embodies ...
ACIVS
2006
Springer
14 years 16 days ago
2006
Springer
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
IJCAI
2003
13 years 10 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...