Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Adapting connectionist learning to Bayes networks
International Journal of Approximate Reasoning
aHUGIN: a system creating adaptive causal probabilistic networks
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Connectionist learning of belief networks
Artificial Intelligence
A practical Bayesian framework for backpropagation networks
Neural Computation
Real-world applications of Bayesian networks
Communications of the ACM
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Machine Learning - Special issue on learning with probabilistic representations
Hidden Markov Model} Induction by Bayesian Model Merging
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Local learning in probabilistic networks with hidden variables
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A Clinician's tool for analyzing non-compliance
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
A Bayesian approach to learning causal networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Causal inference in the presence of latent variables and selection bias
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Learning Bayesian network parameters under incomplete data with domain knowledge
Pattern Recognition
Competitiveness analysis of automotive industry in Turkey using Bayesian networks
Expert Systems with Applications: An International Journal
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Can an AI program contribute to scientific discovery? An area where this gauntlet has been thrown is that of understanding the mechanisms of chemical carcinogenesis. One approach is to obtain Structure-Activity Relationships (SARs) relating molecular ...