Evidential reasoning using stochastic simulation of causal models

Derivation from first principles of belief values generated in networks by message passing

CSC '89 Proceedings of the 17th conference on ACM Annual Computer Science Conference

Theory formation in artificial intelligence

CSC '89 Proceedings of the 17th conference on ACM Annual Computer Science Conference

Image Interpretation Using Bayesian Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Unified Approach for Modeling Longitudinal and Failure Time Data, With Application in Medical Monitoring

IEEE Transactions on Pattern Analysis and Machine Intelligence

Tracking and surveillance in wide-area spatial environments using the abstract hidden Markov model

Hidden Markov models

Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms

Statistics and Computing

Approximating Probabilistic Inference in Bayesian Belief Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

The Intelligent Electronic Shopping System Based on Bayesian Customer Modeling

WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development

Mixtures of Truncated Exponentials in Hybrid Bayesian Networks

ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Importance Sampling in Bayesian Networks Using Antithetic Variables

ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Logic, Knowledge Representation, and Bayesian Decision Theory

CL '00 Proceedings of the First International Conference on Computational Logic

From fields to trees

UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence

On Discriminative Bayesian Network Classifiers and Logistic Regression

Machine Learning

A decision support tool coupling a causal model and a multi-objective genetic algorithm

IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence

Distributed stochastic search and distributed breakout: properties, comparison and applications to constraint optimization problems in sensor networks

Artificial Intelligence - Special issue: Distributed constraint satisfaction

On the use of Bayesian Networks to develop behaviours for mobile robots

Robotics and Autonomous Systems

A graphical model for evolutionary optimization

Evolutionary Computation

Multivariate analysis applied in Bayesian metareasoning

WSEAS TRANSACTIONS on SYSTEMS

Augmenting learning function to Bayesian network inferences with maximum likelihood parameters

Expert Systems with Applications: An International Journal

Probabilistic representation and approximate inference of type-2 fuzzy events in Bayesian networks with interval probability parameters

Expert Systems with Applications: An International Journal

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

Graph transformation based reduction analysis of PID

ACM SIGSOFT Software Engineering Notes

Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey

Information Security Tech. Report

Scalable pseudo-likelihood estimation in hybrid random fields

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Efficient type-ahead search on relational data: a TASTIER approach

Proceedings of the 2009 ACM SIGMOD International Conference on Management of data

A method for Bayesian meta-inference applying multiple regressions

ICS'08 Proceedings of the 12th WSEAS international conference on Systems

2009 Special Issue: A hybrid random field model for scalable statistical learning

Neural Networks

AIS-BN: an adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks

Journal of Artificial Intelligence Research

Policy recognition in the abstract hidden Markov model

Journal of Artificial Intelligence Research

Maximum entropy in Nilsson's probabilistic logic

IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1

Distributed stochastic search and distributed breakout: properties, comparison and applications to constraint optimization problems in sensor networks

Artificial Intelligence - Special issue: Distributed constraint satisfaction

Scalable statistical learning: a modular Bayesian/Markov network approach

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

Dynamic importance sampling in Bayesian networks based on probability trees

International Journal of Approximate Reasoning

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

Arc refractor methods for adaptive importance sampling on large Bayesian networks under evidential reasoning

International Journal of Approximate Reasoning

Probabilistic and analytical estimation of software development team size

International Journal of Hybrid Intelligent Systems

Inference for belief networks using coupling from the past

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Using qualitative relationships for bounding probability distributions

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence

Improved sampling for diagnostic reasoning in Bayesian networks

UAI'95 Proceedings of the Eleventh 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

Tail sensitivity analysis in Bayesian networks

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence

Efficient search-based inference for noisy-OR belief networks: topepsilon

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence

Optimal Monte Carlo estimation of belief network inference

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence

A stratified simulation scheme for inference in Bayesian belief networks

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence

Backward simulation in Bayesian networks

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence

Incremental dynamic construction of layered polytree networks

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence

Diagnosis of multiple faults: a sensitivity analysis

UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence

Using causal information and local measures to learn Bayesian networks

UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence

Incremental probabilistic inference

UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence

The use of conflicts in searching Bayesian networks

UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence

Dynamic network models for forecasting

UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence

Reformulating inference problems through selective conditioning

UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence

Bayesian networks applied to therapy monitoring

UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence

K nearest neighbor edition to guide classification tree learning: motivation and experimental results

Data Mining

Review: learning bayesian networks: Approaches and issues

The Knowledge Engineering Review

Combining bayesian networks, k nearest neighbours algorithm and attribute selection for gene expression data analysis

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence

Hybrid knowledge-based systems for therapy planning

Artificial Intelligence in Medicine

Bayesian networks for patient monitoring

Artificial Intelligence in Medicine

Paper: A tutorial introduction to stochastic simulation algorithms for belief networks

Artificial Intelligence in Medicine

Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data

Artificial Intelligence in Medicine

Mal-ID: automatic malware detection using common segment analysis and meta-features

The Journal of Machine Learning Research

Applying a validation framework to a working airport terminal model

Expert Systems with Applications: An International Journal