Operations Research
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
HUGIN—a shell for building Bayesian belief universes for expert systems
Readings in uncertain reasoning
Fundamental concepts of qualitative probabilistic networks
Artificial Intelligence
On the generation of alternative explanations with implications for belief revision
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Probabilistic similarity networks
Probabilistic similarity networks
Reconstructive expert system explanation
Artificial Intelligence
Explanation in Bayesian belief networks
Explanation in Bayesian belief networks
Probabilistic reasoning in decision support systems: from computation to common sense
Probabilistic reasoning in decision support systems: from computation to common sense
An evaluation of explanations of probabilistic inference
Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
Cost-based abduction and MAP explanation
Artificial Intelligence
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Artificial Intelligence - Special issue on relevance
Bayesian reasoning in an abductive mechanism for argument generation and analysis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Partial abductive inference in Bayesian belief networks using a genetic algorithm
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Explaining Control Strategies in Problem Solving
IEEE Expert: Intelligent Systems and Their Applications
An Explanation Facility for Today's Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
Verbal Expressions for Probability Updates: How Much More Probable is "Much More Probable"?
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Pivotal Pruning of Trade-offs in QPNs
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
A Probabilistic Framework for Explanation
A Probabilistic Framework for Explanation
Uniform knowledge representation for language processing in the B2 system
Natural Language Engineering
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Dialog-driven adaptation of explanations of proofs
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Enhancing QPNs for trade-off resolution
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Computational advantages of relevance reasoning in Bayesian belief networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Combining knowledge from different sources in causal probabilistic models
The Journal of Machine Learning Research
A review of explanation methods for heuristic expert systems
The Knowledge Engineering Review
Use of Elvira's explanation facility for debugging probabilistic expert systems
Knowledge-Based Systems
Predicting carcinoid heart disease with the noisy-threshold classifier
Artificial Intelligence in Medicine
Towards qualitative approaches to Bayesian evidential reasoning
Proceedings of the 11th international conference on Artificial intelligence and law
Spatial decision support system for Medfly control in citrus
Computers and Electronics in Agriculture
Dynamic Bayesian networks as prognostic models for clinical patient management
Journal of Biomedical Informatics
International Journal of Hybrid Intelligent Systems - HIS 2007
Explaining inferences in Bayesian networks
Applied Intelligence
Fixing the program my computer learned: barriers for end users, challenges for the machine
Proceedings of the 14th international conference on Intelligent user interfaces
Preventing knowledge transfer errors: Probabilistic decision support systems through the users' eyes
International Journal of Approximate Reasoning
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Variable elimination for influence diagrams with super value nodes
International Journal of Approximate Reasoning
On extracting arguments from Bayesian network representations of evidential reasoning
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Why-oriented end-user debugging of naive Bayes text classification
ACM Transactions on Interactive Intelligent Systems (TiiS)
Most probable explanations in Bayesian networks: Complexity and tractability
International Journal of Approximate Reasoning
A multivariate probabilistic method for comparing two clinical datasets
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Abductive inference in bayesian networks: finding a partition of the explanation space
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A generalized taxonomy of explanations styles for traditional and social recommender systems
Data Mining and Knowledge Discovery
Most relevant explanation in Bayesian networks
Journal of Artificial Intelligence Research
SAFECOMP'07 Proceedings of the 26th international conference on Computer Safety, Reliability, and Security
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Structure approximation of most probable explanations in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Transparency of military threat evaluation through visualizing uncertainty and system rationale
EPCE'13 Proceedings of the 10th international conference on Engineering Psychology and Cognitive Ergonomics: applications and services - Volume Part II
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One of the key factors for the acceptance of expert systems in real-world domains is the ability to explain their reasoning (Buchanan & Shortliffe, 1984; Henrion & Druzdzel, 1990). This paper describes the basic properties that characterise explanation methods and reviews the methods developed to date for explanation in Bayesian networks.