Artificial Intelligence
Introduction to artificial intelligence
Introduction to artificial intelligence
Operations Research
A hybrid approach to reasoning under uncertainty
International Journal of Approximate Reasoning
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
Readings in uncertain reasoning
Readings in uncertain reasoning
Readings in uncertain reasoning
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
Readings in uncertain reasoning
A probabilistic analysis of marker-passing techniques for plan-recognition
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
On the generation of alternative explanations with implications for belief revision
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Algorithms for irrelevance-based partial MAPs
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Integrating model construction and evaluation
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
A Bayesian model of plan recognition
Artificial Intelligence
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
Process, structure and modularity in reasoning with uncertainty
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Simulation Approaches to General Probabilistic Inference on Belief Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Plan Recognition in Stories and in Life
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
A new algorithm for finding MAP assignments to belief networks
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
A Probabilistic Approach to Language Understanding
A Probabilistic Approach to Language Understanding
A logic for semantic interpretation
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
On state-space abstraction for anytime evaluation of Bayesian networks
ACM SIGART Bulletin
Dynamic Network Construction and Updating Techniques for the Diagnosis of Acute Abdominal Pain
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
Structured Learning of Component Dependencies in AmI Systems
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
PRISM: a language for symbolic-statistical modeling
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Constructing situation specific belief networks
UAI'98 Proceedings of the Fourteenth 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
Generating Bayesian networks from probability logic knowledge bases
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
State-space abstraction for anytime evaluation of probabilistic networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Integrating model construction and evaluation
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Deriving a stationary dynamic bayesian network from a logic program with recursive loops
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
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A method for incrementally constructing belief networks, which are directed acyclic graph representations for probability distributions, is described. A network-construction language, FRAIL3, which is similar to a forward-chaining language using data dependencies but has additional features for specifying distributions, was developed. A particularly important feature of this language is that is allows the user to conveniently specify conditional probability matrices using stereotyped models of intercausal interaction. Using FRAIL3, one can define parmeterized classes of probabilistic models. These parameterized models make it possible to apply probabilistic reasoning to problems for which it is impractical to have a single large, static model.