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Data model issues for object-oriented applications
ACM Transactions on Information Systems (TOIS)
Probabilistic reasoning in intelligent systems: networks of plausible inference
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Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
P-CLASSIC: a tractable probablistic description logic
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Effective Bayesian inference for stochastic programs
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Optimization of inter-subnet belief updating in multiply sectioned Bayesian networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Network fragments: representing knowledge for constructing probabilistic models
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Network engineering for complex belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Structured representation of complex stochastic systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Probabilistic frame-based systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
ACM Transactions on Database Systems (TODS)
Parameter Learning in Object-Oriented Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Network Engineering for Agile Belief Network Models
IEEE Transactions on Knowledge and Data Engineering
OLAP-Based Data Mining for Business Intelligence Applications in Telecommunications and E-commerce
DNIS '00 Proceedings of the International Workshop on Databases in Networked Information Systems
A Compositional Approach to Causality
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Synergy between Compositional Modeling and Bayesian Networks
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Properties of Weak Conditional Independence
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Learning from Multiple Bayesian Networks for the Revision and Refinement of Expert Systems
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Learning with Concept Hierarchies in Probabilistic Relational Data Mining
WAIM '02 Proceedings of the Third International Conference on Advances in Web-Age Information Management
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
ACM SIGKDD Explorations Newsletter
Building large-scale Bayesian networks
The Knowledge Engineering Review
Game theoretic and decision theoretic agents
The Knowledge Engineering Review
Reasoning and learning in extended structured Bayesian networks
Fundamenta Informaticae
Making Resource Decisions for Software Projects
Proceedings of the 26th International Conference on Software Engineering
Combining probabilistic logic programming with the power of maximum entropy
Artificial Intelligence - Special issue on nonmonotonic reasoning
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
Bayesian biosurveillance of disease outbreaks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
MPLUS: a probabilistic medical language understanding system
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Dynamically constructed Bayes nets for multi-domain sketch understanding
ACM SIGGRAPH 2006 Courses
Iterative Compilation of Multiagent Probabilistic Graphical Models
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Iterative Multiagent Probabilistic Inference
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Predicting software defects in varying development lifecycles using Bayesian nets
Information and Software Technology
Bayesian Network Learning with Parameter Constraints
The Journal of Machine Learning Research
ACM Transactions on Computational Logic (TOCL)
Dynamically constructed Bayes nets for multi-domain sketch understanding
ACM SIGGRAPH 2007 courses
SketchREAD: a multi-domain sketch recognition engine
ACM SIGGRAPH 2007 courses
Inference in multi-agent causal models
International Journal of Approximate Reasoning
Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain
The Knowledge Engineering Review
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks
IEEE Transactions on Knowledge and Data Engineering
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
Computer Methods and Programs in Biomedicine
A Methodological Approach for the Effective Modeling of Bayesian Networks
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Loopy Propagation in a Probabilistic Description Logic
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Force deployment analysis with generalized grammar
Information Fusion
Multi-layer Bayesian Network for Variable-Bound Inference
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Credal networks for military identification problems
International Journal of Approximate Reasoning
On Inferences ofWeak Multivalued Dependencies
Fundamenta Informaticae
Duality of Actor and Character Goals in Virtual Drama
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Structured modeling language for automated modeling in causal networks
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A theoretical framework for learning Bayesian networks with parameter inequality constraints
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Dynamically constructed Bayes nets for multi-domain sketch understanding
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Automated compilation of Object-Oriented Probabilistic Relational Models
International Journal of Approximate Reasoning
Lifted aggregation in directed first-order probabilistic models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Environmental Modelling & Software
Compiling Multiply Sectioned Bayesian Networks: A Comparative Study
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Context-aware classification for incremental scene interpretation
Proceedings of the Workshop on Use of Context in Vision Processing
Learning first-order Bayesian networks
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Temporal Bayesian networks for scenario recognition
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
TTI model: model extracting individual's curiosity level in urban spaces
Proceedings of the 8th ACM Conference on Designing Interactive Systems
Communications of the ACM
Effective Bayesian inference for stochastic programs
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Situation-specific intention recognition for human-robot cooperation
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Automatic ontology evolution in open and dynamic computing environments
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Efficient design and inference in distributed bayesian networks: an overview
TbiLLC'09 Proceedings of the 8th international tbilisi conference on Logic, language, and computation
Patterns discovery for efficient structured probabilistic inference
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
SPOOK: a system for probabilistic object-oriented knowledge representation
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Contextual weak independence in Bayesian networks
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Inference in multiply sectioned Bayesian networks with extended Shafer-Shenoy and lazy propagation
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Distributed planning in hierarchical factored MDPs
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Monitoring a complex physical system using a hybrid dynamic bayes net
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Causal mechanism-based model constructions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Hypothesis management in situation-specific network construction
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Toward general analysis of recursive probability models
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Probabilistic reasoning techniques for the tactical military domain
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
Artificial Intelligence in Medicine
Good practice in Bayesian network modelling
Environmental Modelling & Software
Structured probabilistic inference
International Journal of Approximate Reasoning
On Inferences ofWeak Multivalued Dependencies
Fundamenta Informaticae
A proposed validation framework for expert elicited Bayesian Networks
Expert Systems with Applications: An International Journal
Reasoning and Learning in Extended Structured Bayesian Networks
Fundamenta Informaticae
SAFECOMP'07 Proceedings of the 26th international conference on Computer Safety, Reliability, and Security
Mobile context inference using two-layered Bayesian networks for smartphones
Expert Systems with Applications: An International Journal
Multilevel Bayesian networks for the analysis of hierarchical health care data
Artificial Intelligence in Medicine
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applications. However, when faced with a large complex domain, the task of modeling using Bayesian networks begins to resemble the task of programming using logical circuits. In this paper, we describe an object-oriented Bayesian network (OOBN) language, which allows complex domains to be described in terms of inter-related objects. We use a Bayesian network fragment to describe the probabilistic relations between the attributes of an object. These attributes can themselves be objects, providing a natural framework for encoding part-of hierarchies, Classes are used to provide a reusable probabilistic model which can be applied to multiple similar objects. Classes also support inheritance of model fragments from a class to a subclass, allowing the common aspects of related classes to be defined only once. Our language has clear declarative semantics: an OOBN can be interpreted as a stochastic functional program, so that it uniquely specifies a probabilistic model. We provide an inference algorithm for OOBNs, and show that much of the structural information encoded by an OOBN--particularly the encapsulation of variables within an object and the reuse of model fragments in different contexts---can also be used to speed up the inference process.