Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic inference and influence diagrams
Operations Research
Local expression languages for probabilistic dependence: a preliminary report
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Approximating probabilistic inference in Bayesian belief networks is NP-hard
Artificial Intelligence
A Tractable Inference Algorithm for Diagnosing Multiple Diseases
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Directed reduction algorithms and decomposable graphs
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Bayesian network models for generation of crisis management training scenarios
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 1999 ACM symposium on Applied computing
The reader's helper: a personalized document reading environment
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Probability Bounds for Goal Directed Queries in Bayesian Networks
IEEE Transactions on Knowledge and Data Engineering
Query-Free Information Retrieval
IEEE Expert: Intelligent Systems and Their Applications
Distributed Fault Localization in Hierarchically Routed Networks
DSOM '02 Proceedings of the 13th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Management Technologies for E-Commerce and E-Business Applications
Faceted Preference Matching in Recommender Systems
EC-Web 2001 Proceedings of the Second International Conference on Electronic Commerce and Web Technologies
Analyzing Directed Acyclic Graph Recombination
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
A Function-Based Classifier Learning Scheme Using Genetic Programming
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Probabilistic fault diagnosis in communication systems through incremental hypothesis updating
Computer Networks: The International Journal of Computer and Telecommunications Networking
Probabilistic fault localization in communication systems using belief networks
IEEE/ACM Transactions on Networking (TON)
BBN-based software project risk management
Journal of Systems and Software - Special issue: Applications of statistics in software engineering
"Computer, please, tell me what i have to do...": an approach to agent-aided application composition
Journal of Systems and Software - Special issue: Automated component-based software engineering
Data mining of Bayesian networks using cooperative coevolution
Decision Support Systems
Being proactive -- analytics for predicting customer actions
BT Technology Journal
Fast statistical spam filter by approximate classifications
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Information Sciences: an International Journal
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Learning-Function-Augmented Inferences of Causalities Implied in Health Data
Advanced Web and NetworkTechnologies, and Applications
Representing and Inferring Causalities among Classes of Multidimensional Data
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Journal of Artificial Intelligence Research
Device representation and reasoning with affective relations
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
An application of Bayesian network for predicting object-oriented software maintainability
Information and Software Technology
Towards web services composition based on the mining and reasoning of their causal relationships
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
The Knowledge Engineering Review
Qualitative probabilistic networks with reduced ambiguities
Applied Intelligence
Fault localization and self-healing with dynamic domain configuration
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Bayesian MAP model selection of chain event graphs
Journal of Multivariate Analysis
Modeling web services based on the bayesian network
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Information Sciences: an International Journal
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This brief tutorial on Bayesian networks serves to introduce readers to some of the concepts, terminology, and notation employed by articles in this special section. In a Bayesian network, a variable takes on values from a collection of mutually exclusive and collective exhaustive states. A variable may be discrete, having a finite or countable number of states, or it may be continuous. Often the choice of states itself presents an interesting modeling question. For example, in a system for troubleshooting a problem with printing, we may choose to model the variable “print output” with two states—“present” and “absent”—or we may want to model the variable with finer distinctions such as “absent,” “blurred ,” “cut off,” and “ok.”