Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
ACM Computing Surveys (CSUR)
Context-specific sign-propagation in qualitative probabilistic networks
Artificial Intelligence
IEEE Transactions on Knowledge and Data Engineering
Causal Maps: Theory, Implementation, and Practical Applications in Multiagent Environments
IEEE Transactions on Knowledge and Data Engineering
Probability Intervals Over Influence Diagrams
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian computational model of social capital in virtual communities
Communities and technologies
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
Hybrid argumentation systems for structured news reports
The Knowledge Engineering Review
Monotonicity in Bayesian networks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Large-Sample Learning of Bayesian Networks is NP-Hard
The Journal of Machine Learning Research
Graphoid properties of epistemic irrelevance and independence
Annals of Mathematics and Artificial Intelligence
Incompletely specified probabilistic networks
Journal of Management Information Systems - Special section: Information technology and its organizational impact
Bayesian network modelling through qualitative patterns
Artificial Intelligence
Use of Elvira's explanation facility for debugging probabilistic expert systems
Knowledge-Based Systems
Towards qualitative approaches to Bayesian evidential reasoning
Proceedings of the 11th international conference on Artificial intelligence and law
The Influence of Influence Diagrams in Medicine
Decision Analysis
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks
IEEE Transactions on Knowledge and Data Engineering
Information Sciences: an International Journal
A generic qualitative characterization of independence of causal influence
International Journal of Approximate Reasoning
A framework for linking advanced simulation models with interactive cognitive maps
Environmental Modelling & Software
Enhanced qualitative probabilistic networks for resolving trade-offs
Artificial Intelligence
Complexity results for enhanced qualitative probabilistic networks
International Journal of Approximate Reasoning
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
International Journal of Approximate Reasoning
Interacting with Inspectable Bayesian Student Models
International Journal of Artificial Intelligence in Education
Local Monotonicity in Probabilistic Networks
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Discovering semantic associations among Web services based on the qualitative probabilistic network
Expert Systems with Applications: An International Journal
Inference in qualitative probabilistic networks revisited
International Journal of Approximate Reasoning
Structure learning of Bayesian networks using constraints
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Surprise-Based Qualitative Probabilistic Networks
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Factored MDP elicitation and plan display
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Value-function-based transfer for reinforcement learning using structure mapping
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Context-specific sign-propagation in qualitative probabilistic networks
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Bayesian network modelling through qualitative patterns
Artificial Intelligence
Conceptions of Vagueness in Subjective Probability for Evidential Reasoning
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Bayesian Networks: The Parental Synergy and the Prior Convergence Error
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
International Journal of Approximate Reasoning
Introducing situational signs in qualitative probabilistic networks
International Journal of Approximate Reasoning
Learning Bayesian network parameters under order constraints
International Journal of Approximate Reasoning
Parameter learning for Bayesian networks with strict qualitative influences
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Assessing critical success factors for military decision support
Expert Systems with Applications: An International Journal
Qualitative test-cost sensitive classification
Pattern Recognition Letters
Qualitative probabilistic networks with reduced ambiguities
Applied Intelligence
The STRIPS assumption for planning under uncertainty
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Efficient reasoning in qualitative probabilistic networks
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Causal argumentation schemes to support sense-making in clinical genetics and law
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Bayesian networks and the imprecise Dirichlet model applied to recognition problems
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
When learning naive bayesian classifiers preserves monotonicity
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Self-Configuration and Optimization for Cognitive Networked Devices
Wireless Personal Communications: An International Journal
Hierarchical qualitative inference model with substructures
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Representing and combining partially specified CPTs
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Enhancing QPNs for trade-off resolution
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
From qualitative to quantitative probabilistic networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Pivotal pruning of trade-offs in QPNs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Exploiting qualitative knowledge in the learning of conditional probabilities of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Sufficiency, separability and temporal probabilistic models
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Incremental tradeoff resolution in qualitative probabilistic networks
UAI'98 Proceedings of the Fourteenth 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
Elicitation of probabilities for belief networks: combining qualitative and quantitative information
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Path planning under time-dependent uncertainty
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
On the relation between kappa calculus and probabilistic reasoning
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Intercausal reasoning with uninstantiated ancestor nodes
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Argumentation as a general framework for uncertain reasoning
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
On reasoning in networks with qualitative uncertainty
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A symbolic approach to reasoning with linguistic quantifiers
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Representing context-sensitive knowledge in a network formalism: a preliminary report
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Agent-Based parsimonious decision support paradigm employing bayesian belief networks
DAMAS'05 Proceedings of the 2005 international conference on Defence Applications of Multi-Agent Systems
Upgrading ambiguous signs in QPNs
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Representation requirements for supporting decision model formulation
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
An ontology-based approach for constructing Bayesian networks
Data & Knowledge Engineering
A qualitative characterisation of causal independence models using boolean polynomials
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Extracting qualitative knowledge from medical guidelines for clinical decision-support systems
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
Artificial Intelligence in Medicine
Performance of classification models from a user perspective
Decision Support Systems
Qualitative chain graphs and their application
International Journal of Approximate Reasoning
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