Abstract Bayesian Networks (BNs) have become increasingly popular over the last few
decades as a tool for reasoning under uncertainty in fields as diverse as medicine, biology …

Abstract Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone
trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic …

All governments have lately placed a high priority on achieving carbon neutrality.
Environmental sustainability may be achieved via the evaluation of novel approaches. We …

Process Industries handling, producing and storing bulk amount of hazardous materials are
a major source of concern in terms of both safety and security. Safety and security cannot be …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

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 have become a widely used method in the modelling of uncertain
knowledge. Owing to the difficulty domain experts have in specifying them, techniques that …

Naive Bayes is among the simplest probabilistic classifiers. It often performs surprisingly well
in many real world applications, despite the strong assumption that all features are …

We propose a new scoring function for learning Bayesian networks from data using score+
search algorithms. This is based on the concept of mutual information and exploits some …

Learning Bayesian networks is known to be an NP-hard problem and that is the reason why
the application of a heuristic search has proven advantageous in many domains. This …