Knowledge representation and inference in intelligent decision systems
Knowledge representation and inference in intelligent decision systems
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Advances in probabilistic reasoning
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Object-oriented modeling and design
Object-oriented modeling and design
Connectionist learning of belief networks
Artificial Intelligence
A Language for Construction of Belief Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Utility-based control for computer vision
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Model-Based Influence Diagrams for Machine Vision
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Context-specific independence in Bayesian networks
UAI'96 Proceedings of the Twelfth international 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
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
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
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Probability elicitation for belief networks: issues to consider
The Knowledge Engineering Review
Building large-scale Bayesian networks
The Knowledge Engineering Review
Combining probabilistic logic programming with the power of maximum entropy
Artificial Intelligence - Special issue on nonmonotonic reasoning
A causal mapping approach to constructing Bayesian networks
Decision Support Systems
Dynamically constructed Bayes nets for multi-domain sketch understanding
ACM SIGGRAPH 2006 Courses
Self-organizing learning array and its application to economic and financial problems
Information Sciences: an International Journal
Dynamically constructed Bayes nets for multi-domain sketch understanding
ACM SIGGRAPH 2007 courses
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
Force deployment analysis with generalized grammar
Information Fusion
Mining Data and Modelling Social Capital in Virtual Learning Communities
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Structured modeling language for automated modeling in causal networks
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Dynamically constructed Bayes nets for multi-domain sketch understanding
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Compiling relational Bayesian networks for exact inference
International Journal of Approximate Reasoning
Design Principles for Ontological Support of Bayesian Evidence Management
Proceedings of the 2010 conference on Ontologies and Semantic Technologies for Intelligence
Situation-specific intention recognition for human-robot cooperation
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Fusing multiple Bayesian knowledge sources
International Journal of Approximate Reasoning
Efficient design and inference in distributed bayesian networks: an overview
TbiLLC'09 Proceedings of the 8th international tbilisi conference on Logic, language, and computation
An application of uncertain reasoning to requirements engineering
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Representing and combining partially specified CPTs
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
SPOOK: a system for probabilistic object-oriented knowledge representation
UAI'99 Proceedings of the Fifteenth 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
Constructing situation specific belief networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Object-oriented Bayesian networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Objects relationship modeling for improving object detection using bayesian network integration
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
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
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
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
Mobile context inference using two-layered Bayesian networks for smartphones
Expert Systems with Applications: An International Journal
State-of-the-art of intention recognition and its use in decision making
AI Communications
Intelligent Decision Technologies
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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In most current applications of belief networks, domain knowledge is represented by a single belief network that applies to all problem instances in the domain. In more complex domains, problem-specific models must be constructed from a knowledge base encoding probabilistic relationships in the domain. Most work in knowledge-based model construction takes the rule as the basic unit of knowledge. We present a knowledge representation framework that permits the knowledge base designer to specify knowledge in larger semantically meaningful units which we call network fragments. Our framework provides for representation of asymmetric independence and canonical intercausal interaction. We discuss the combination of network fragments to form problem-specific models to reason about particular problem instances. The framework is illustrated using examples from the domain of military situation awareness.