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- Cooperative Triangulation in MSBNs without Revealing Subnet Structures
- Parameterization of Pseudo-independent Models Y. Xiang, University of Guelph, Guelph, Canada
- METHODOLOGY Simulation of Graphical Models for
- Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
- Inference in Multiply Sectioned Bayesian Networks with Lazy Propagation and Linked Junction Forests
- Journal of Automated Reasoning Special Issue on Uncertain Reasoning
- Multiagent Constraint Satisfaction with Multiply Sectioned Constraint Networks
- Can Uncertainty Management Be Realized In A Finite Totally Ordered Probability Algebra?
- Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation
- Exploring Localization In Bayesian Networks For Large Expert Systems
- Package Planning with Graphical Models Y. Xiang and M. Janzen, University of Guelph, Canada
- On the Role of Multiply Sectioned Bayesian Networks to Cooperative Multiagent Systems
- Semantics of Multiply Sectioned Bayesian Networks for Cooperative Multi-agent
- A Well-Behaved Algorithm for Simulating Dependence Structures of Bayesian Networks
- Complexity measurement of fundamental pseudo-independent models
- Learning Pseudo-Independent Models: Analytical and Experimental Results
- Application of Bayesian Networks to Shopping Assistance
- Book Review A. Darwiche, Modeling and Reasoning with Bayesian Networks, Cambridge, 2009
- Dynamic Multiagent Probabilistic Inference Xiangdong An a,, Yang Xiang b
- Modeling Causal Reinforcement and Undermining for Efficient CPT Elicitation
- Inference in Multiply Sectioned Bayesian Networks: Methods and Performance Comparison
- Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks
- Verification of DAG Structures in Cooperative Belief Network Based Multi-agent Systems
- Towards Effective Elicitation of NIN-AND Tree Causal Models
- Building Intelligent Sensor Networks With Multiagent Graphical Models
- Planning in Multiagent Expedition with Collaborative Design Networks
- Modeling Causal Reinforcement And Undermining With Noisy-AND Trees
- Discovery of Pseudo-Independent Models from Data Yang Xiang, University of Guelph, Canada
- Distributed Multi-agent Probabilistic Reasoning With Bayesian Networks
- Acquisition and Computation Issues with NIN-AND Tree Models University of Guelph, Canada
- Multiagent Bayesian Forecasting of Time Series with Graphical Models Yang Xiang1
- Distributed University Timetabling with Multiply Sectioned Constraint Networks University of Guelph, Canada
- Agent Interface Enhancement: Making Multiagent Graphical Models Accessible
- Some Practical Issues in Modeling Diagnostic Systems with Multiply Sectioned Bayesian Networks
- A Characterization of Single-Link Search in Learning Belief Networks
- Learning Belief Networks in Domains with Recursively Embedded
- PARALLEL LEARNING OF BELIEF NETWORKS T. Chu, Y. Xiang
- Critical Remarks on Single Link Search in Learning Belief Networks Y. Xiang S.K.M Wong
- Distributed Scheduling of Multiagent Communication Department of Computer Science, University of Regina
- CONSTRUCTION OF A MARKOV NETWORK FROM DATA FOR PROBABILISTIC INFERENCE
- Representation of Bayesian Networks as Relational Databases
- PAINULIM: A Neuromuscular Diagnosis Expert System Based On Multiply Sectioned Bayesian Belief Networks
- Towards Understanding of Pseudo-independent Domains Department of Computer Science, University of Regina
- Partial Evaluation for Planning in Multiagent Y. Xiang and F. Hanshar
- Multiply Sectioned Bayesian Networks For Neuromuscular Diagnosis
- Comparison of multiagent inference methods in multiply sectioned
- Quantifying Uncertainty of Knowledge Discovered From Databases
- Tractable Optimal Multiagent Collaborative Design Yang Xiang, University of Guelph, Canada
- Encyclopedia of Data Warehousing and
- A `Microscopic' Study of Minimum Entropy Search in Learning Decomposable Markov Networks
- Justifying Multiply Sectioned Bayesian Networks Y. Xiang and V. Lesser
- Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective
- A Simple Method to Evaluate In uence Diagrams Y. Xiang and C. Ye
- A Constructive Bayesian Approach for Vehicle Monitoring Y. Xiang and V. Lesser
- A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models
- Optimal Design in Collaborative Design Network University of Guelph
- A Probabilistic Framework for Cooperative Multi-agent Distributed Interpretation and
- DISTRIBUTED STRUCTURE VERIFICATION IN MULTIPLY SECTIONED BAYESIAN NETWORKS
- Optimal Design with Design Networks University of Guelph, Canada
- Belief Updating in Multiply Sectioned Bayesian Networks without Repeated Local Propagations
- Parallel Learning of Belief Networks in Large and Difficult Domains
- Distributed Equipment Monitoring and Diagnosis with Multiply Sectioned Bayesian Networks
- Generalized Non-impeding Noisy-AND Trees Yang Xiang, University of Guelph, Canada
- 1 Interface Verification for Multiagent Probabilistic Inference
- Sequential Updating Conditional Probability in Bayesian Networks by Posterior Probability
- Computational Intelligence, Volume , Number , QUANTIFICATION OF UNCERTAINTY IN
- Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
- Tightly and Loosely Coupled Decision Paradigms in Multiagent Yang Xiang and Franklin Hanshar
- Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks
- Exploring Parallelism in Learning Belief Networks T. Chu and Y. Xiang
- Multiagent Bayesian Forecasting of Structural Time-Invariant Dynamic Systems with
- A Computational Framework for Package Planning Y. Xiang and M. Janzen
- July 20, 2011 16:36 WSPC/INSTRUCTION FILE jnl-expl Multiagent Expedition with Graphical Models
- Indirect Elicitation of NIN-AND Trees in Causal Model Acquisition