Yang Xiang

According to our database1, Yang Xiang authored at least 59 papers between 1989 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks.
Int. J. Approx. Reasoning, 2019

2018
NAT model-based compression of Bayesian network CPTs over multivalued variables.
Computational Intelligence, 2018

2017
Efficient probabilistic inference in Bayesian networks with multi-valued NIN-AND tree local models.
Int. J. Approx. Reasoning, 2017

Fault Tolerant Direct NAT Structure Extraction from Pairwise Causal Interaction Patterns.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Extraction of NAT Causal Structures Based on Bipartition.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Privacy preserving existence recognition and construction of hypertree agent organization.
Autonomous Agents and Multi-Agent Systems, 2016

Compressing Bayes Net CPTs with Persistent Leaky Causes.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Multiplicative Factorization of Multi-Valued NIN-AND Tree Models.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Compression of General Bayesian Net CPTs.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Multiagent Decision Making in Collaborative Decision Networks by Utility Cluster Based Partial Evaluation.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015

2014
Distributed constraint satisfaction with multiply sectioned constraint networks.
IJIDS, 2014

2013
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
CoRR, 2013

Exploring Localization in Bayesian Networks for Large Expert Systems
CoRR, 2013

Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks
CoRR, 2013

Exploring Parallelism in Learning Belief Networks
CoRR, 2013

Construction of Privacy Preserving Hypertree Agent Organization as Distributed Maximum Spanning Tree.
Proceedings of the Advances in Artificial Intelligence, 2013

Boundary Set Based Existence Recognition and Construction of Hypertree Agent Organization.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Non-impeding noisy-AND tree causal models over multi-valued variables.
Int. J. Approx. Reasoning, 2012

Multiagent Decision by Partial Evaluation.
Proceedings of the Advances in Artificial Intelligence, 2012

2011
Multiagent Expedition with Graphical Models.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2011

Multiagent bayesian forecasting of structural time-invariant dynamic systems with graphical models.
Int. J. Approx. Reasoning, 2011

Partial Evaluation for Planning in Multiagent Expedition.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Preface: Special Issue on Uncertain Reasoning.
J. Autom. Reasoning, 2010

Comparison of tightly and loosely coupled decision paradigms in multiagent expedition.
Int. J. Approx. Reasoning, 2010

A. Darwiche, Modeling and Reasoning with Bayesian Networks , Cambridge (2009).
Artif. Intell., 2010

Generalized Non-impeding Noisy-AND Trees.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009
Pseudo-Independent Models and Decision Theoretic Knowledge Discovery.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Multiagent Bayesian Forecasting of Time Series with Graphical Models.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008
Building Intelligent Sensor Networks with Multiagent Graphical Models.
Proceedings of the Intelligent Decision Making: An AI-Based Approach, 2008

Distributed University Timetabling with Multiply Sectioned Constraint Networks.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
Tractable Optimal Multiagent Collaborative Design.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Multiagent Constraint Satisfaction with Multiply Sectioned Constraint Networks.
Proceedings of the Advances in Artificial Intelligence, 2007

Planning in Multiagent Expedition with Collaborative Design Networks.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
A computational framework for package planning.
KES Journal, 2006

2004
Package Planning with Graphical Models.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

A Decision-Theoretic Graphical Model for Collaborative Design on Supply Chains.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
On the role of multiply sectioned Bayesian networks to cooperative multiagent systems.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2003

Comparison of multiagent inference methods in multiply sectioned Bayesian networks.
Int. J. Approx. Reasoning, 2003

A Constructive Graphical Model Approach for Knowledge-Based Systems: A Vehicle Monitoring Case Study.
Computational Intelligence, 2003

Probabilistic Reasoning for Meal Planning in Intelligent Fridges.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Editorial advances on uncertain reasoning in intelligent systems.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Deborah Ann Stacey, Application of Bayesian Networks to Shopping Assistance.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Cooperative triangulation in MSBNs without revealing subnet structures.
Networks, 2001

Local Score Computation in Learning Belief Networks.
Proceedings of the Advances in Artificial Intelligence, 2001

2000
Belief updating in multiply sectioned Bayesian networks without repeated local propagations.
Int. J. Approx. Reasoning, 2000

Justifying Multiply Sectioned Bayesian Networks.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

1999
Parallel Learning of Belief Networks in Large and Difficult Domains.
Data Min. Knowl. Discov., 1999

Temporally Invariant Junction Tree for Interference in Dynamic Bayesian Network.
Proceedings of the Artificial Intelligence Today: Recent Trends and Developments, 1999

1998
Verification of DAG structures in cooperative belief network-based multiagent systems.
Networks, 1998

Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network.
Proceedings of the Advances in Artificial Intelligence, 1998

1997
Exploring Parallelism in Learning Belief Networks.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1996
A Probabilistic Framework for Cooperative Multi-Agent Distributed Interpretation and Optimization of Communication.
Artif. Intell., 1996

Semantics of Multiply Selectioned Bayesian Networks for Cooperative Multi-agent Distributed Interpretation.
Proceedings of the Advances in Artificial Intelligence, 1996

1995
Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

1993
Multiply Sectioned Bayesian Networks and Junction Forests for Large Knowledge-Based Systems.
Computational Intelligence, 1993

Multiply sectioned Bayesian networks for neuromuscular diagnosis.
Artificial Intelligence in Medicine, 1993

1992
Exploring Localization in Bayesian Networks for Large Expert Systems.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1989
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989


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