Diagnostic reasoning based on a genetic algorithm operating in a Bayesian belief network
Pattern Recognition Letters
An axiomatic treatment of three qualitative decision criteria
Journal of the ACM (JACM)
On multiple spline approximations for Bayesian computations
Annals of Mathematics and Artificial Intelligence
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
Applied Intelligence
Autonomous Agents and Multi-Agent Systems
Complexity results for structure-based causality
Artificial Intelligence
A Bayesian metareasoner for algorithm selection for real-time Bayesian network inference problems
Eighteenth national conference on Artificial intelligence
Reasoning with BKBs – Algorithms and Complexity
Annals of Mathematics and Artificial Intelligence
Complexity of probabilistic reasoning in directed-path singly-connected Bayes networks
Artificial Intelligence
Complexity results for explanations in the structural-model approach
Artificial Intelligence
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
The Journal of Machine Learning Research
An evolutionary computing approach to probabilistic reasoning on bayesian networks
Evolutionary Computation
Understanding the role of noise in stochastic local search: Analysis and experiments
Artificial Intelligence
An Intrusion Plan Recognition Algorithm Based on Max-1-Connected Causal Networks
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
A probabilistic plan recognition algorithm based on plan tree grammars
Artificial Intelligence
Approximate belief updating in max-2-connected Bayes networks is NP-hard
Artificial Intelligence
Diagnosing faults in electrical power systems of spacecraft and aircraft
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Complexity results and approximation strategies for MAP explanations
Journal of Artificial Intelligence Research
Learning Bayesian network equivalence classes with Ant Colony optimization
Journal of Artificial Intelligence Research
The inferential complexity of Bayesian and credal networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Efficient computation of jointree bounds for systematic MAP search
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Analyzing the probability of the optimum in EDAs based on Bayesian networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Understanding the scalability of Bayesian network inference using clique tree growth curves
Artificial Intelligence
Probabilistic model-based diagnosis: an electrical power system case study
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Norm-product belief propagation: primal-dual message-passing for approximate inference
IEEE Transactions on Information Theory
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Journal of Automated Reasoning
The complexity of finding kth most probable explanations in probabilistic networks
SOFSEM'11 Proceedings of the 37th international conference on Current trends in theory and practice of computer science
Relational preference rules for control
Artificial Intelligence
Multi-dimensional classification with Bayesian networks
International Journal of Approximate Reasoning
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Most probable explanations in Bayesian networks: Complexity and tractability
International Journal of Approximate Reasoning
MAP complexity results and approximation methods
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Confidence inference in bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Sample-and-accumulate algorithms for belief updating in Bayes networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Belief updating by enumerating high-probabilityindependence-based assignments
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Agent-based distributed intrusion alert system
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
Argumentation in bayesian belief networks
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
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 learning-based algorithm selection meta-reasoner for the real-time MPE problem
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Structured Learning and Prediction in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Multi-label classification using conditional dependency networks
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Explaining genetic knock-out effects using cost-based abduction
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Bayesian chain classifiers for multidimensional classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
The computational complexity of monotonicity in probabilistic networks
FCT'07 Proceedings of the 16th international conference on Fundamentals of Computation Theory
The lazy flipper: efficient depth-limited exhaustive search in discrete graphical models
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
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
Energy distribution view for monotonic dual decomposition
International Journal of Approximate Reasoning
Adaptive generalized crowding for genetic algorithms
Information Sciences: an International Journal
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