Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
Algebraic foundations of uncertainty processing rule-based expert systems (group theoretic approach)
Computers and Artificial Intelligence
Theory refinement on Bayesian networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Computers and Artificial Intelligence
Optimizing causal orderings for generating DAGs from data
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Graphical models for discovering knowledge
Advances in knowledge discovery and data mining
Uncertain Information Processing in Expert Systems
Uncertain Information Processing in Expert Systems
Learning Non Probalistic Belief Networks
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
an entropy-driven system for construction of probabilistic expert systems from databases
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Priors on network structures. Biasing the search for Bayesian networks
Priors on network structures. Biasing the search for Bayesian networks
Sequential update of Bayesian network structure
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete databases
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Guest Editorial: Artificial Intelligence and Environmental Applications
Applied Intelligence
Artificial Intelligence and Environmental Decision Support Systems
Applied Intelligence
Coupling bayesian networks with GIS-Based cellular automata for modeling land use change
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
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Bayesian Networks have been proposed as an alternative to rule-based systems in domains with uncertainty. Applications in monitoring and control can benefit from this form of knowledge representation. Following the work of Chong and Walley, we explore the possibilities of Bayesian Networks in the Waste Water Treatment Plants (WWTP) monitoring and control domain. We show the advantages of modelling knowledge in such a domain by means of Bayesian networks, put forth new methods for knowledge acquisition, describe their applications to a real waste water treatment plant and comment on the results. We also show how a Bayesian Network learning environment was used in the process and which characteristics of data in the domain suggested new ways of representing knowledge in network form but with uncertainty representations formalisms other than probability. The results of applying a possibilistic extension of current learning methods are also shown and compared.