Bayesian and non-Bayesian evidential updating
Artificial Intelligence
The principle of minimum specificity as a basis for evidential reasoning
Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty in knowledge-based systems. International Conference on Information
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Perspectives on the theory and practice of belief functions
International Journal of Approximate Reasoning
Reasoning with belief functions: an analysis of compatibility
International Journal of Approximate Reasoning
The transferable belief model and other interpretations of Dempster-Shafer's model
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
A new approach to updating beliefs
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Belief functions on real numbers
International Journal of Approximate Reasoning
Belief functions combination without the assumption of independence of the information sources
International Journal of Approximate Reasoning
Practical uses of belief functions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The dynamic of belief in the transferable belief model and specialization-generalization matrices
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Belief and surprise: a belief-function formulation
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Evidential reasoning in a categorial perspective: conjunction and disjunction of belief functions
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A distance between continuous belief functions
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
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This paper describes the application of explanation-based learning, a machine learning technique, to the SRI Core Language Engine, a large scale general purpose natural language analysis system. The idea is to bypass normal morphological, syntactic and ...