The evaluation and management of climate change impacts on natural and human systems
required the adoption of a multi-risk perspective in which the effect of multiple stressors …

Driving safety is among the most important factors in the design of next generation vehicles
as an integral component of Intelligent Transportation Systems. Crash avoidance and …

Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and
troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals …

Since the first edition of this book published, Bayesian networks have become even more
important for applications in a vast array of fields. This second edition includes new material …

A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …

A fundamental challenge in developing high-impact machine learning technologies is
balancing the need to model rich, structured domains with the ability to scale to big data …

Probabilistic graphical models and decision graphs are powerful modeling tools for
reasoning and decision making under uncertainty. As modeling languages they allow a …

Modelling sequential data is important in many areas of science and engineering. Hidden
Markov models (HMMs) and Kalman filter models (KFMs) are popular for this because they …

The second edition of this bestseller provides a practical and accessible introduction to the
main concepts, foundation, and applications of Bayesian networks. This edition contains a …

Bayesian networks (BNs) are increasingly being used to model environmental systems, in
order to: integrate multiple issues and system components; utilise information from different …