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Current Approaches to Handling Imperfect Information in Data and Knowledge Bases

IEEE Transactions on Knowledge and Data Engineering

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IEEE Transactions on Knowledge and Data Engineering

Causal Probabilistic Networks with Both Discrete and Continuous Variables

IEEE Transactions on Pattern Analysis and Machine Intelligence

Lazy Propagation and Independence of Causal Influence

ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty

Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases

AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine

Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System

AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine

Data mining of Bayesian networks using cooperative coevolution

Decision Support Systems

Generic causal probabilistic networks: A solution to a problem of transferability in medical decision support

Computer Methods and Programs in Biomedicine

Learning symmetric causal independence models

Machine Learning

A Bayesian approach for on-line max and min auditing

PAIS '08 Proceedings of the 2008 international workshop on Privacy and anonymity in information society

Triangulation Heuristics for BN2O Networks

ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Exploiting causal independence using weighted model counting

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1

Exploiting causal independence in Bayesian network inference

Journal of Artificial Intelligence Research

HUGIN: a shell for building Bayesian belief universes for expert systems

IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2

A Bayesian model for disclosure control in statistical databases

Data & Knowledge Engineering

A Bayesian approach for on-line max auditing of dynamic statistical databases

Proceedings of the 2009 EDBT/ICDT Workshops

Child-friendly divorcing: incremental hierarchy learning in Bayesian networks

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Exploiting structure in weighted model counting approaches to probabilistic inference

Journal of Artificial Intelligence Research

Multiplicative factorization of noisy-max

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence

Exploiting functional dependence in bayesian network inference

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence

Independence of causal influence and clique tree propagation

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence

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Artificial Intelligence in Medicine

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Artificial Intelligence in Medicine

A bayesian approach for on-line sum/count/max/min auditing on boolean data

PSD'12 Proceedings of the 2012 international conference on Privacy in Statistical Databases

Probabilistic inference with noisy-threshold models based on a CP tensor decomposition

International Journal of Approximate Reasoning