E. Santos, S. E. Shimony, and E. Williams. On a distributed anytime architecture for probabilistic reasoning. Technical Report AFIT/EN/TR9406, Department of Electrical and Computer Engineering, Air Force Institute of Technology, 1995. Home/Search Document Details and Download
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Inference Algorithm Performance And Selection Under Constrained.. - Borghetti (1996) (3 citations) (Correct)
....a backround of the system, the structure it uses to store knowledge, and the class of algorithms it employs for reasoning. 2. 1 PESKI AFIT is developing the Probabilistic, Expert System Knowledge and Inference (PESKI) environment, a domain independent architecture for building expert systems [19, 20, 21]. Figure 2.1 shows an overview of PESKI. The system is designed to store domain knowledge in the form of a probabilistic network model. It provides tools for knowledge acquisition and validation to improve the quality of the representation. PESKI also provides tools for reasoning over the stored ....
Santos, Jr., Eugene, et al. On a Distributed Anytime Architecture for Probabilistic Reasoning. Technical Report AFIT/EN/TR95-02, Department of Electrical and Computer Engineering, Air Force Institute of Technology, 1995.
Probabilistic Knowledge Base Validation - Gleason (1995) (3 citations) (Correct)
....over general Bayesian Networks, is NP hard [10] 7 and as such is only useful in situations where the actual probability of a certain element is important. While these situations do occur, of greater use over a variety of domains is Belief Revision. 3.5.2 Belief Revision. Belief Revision [37, 44, 47] finds the most probable explanation (MPE) for the given evidence based on the optimal joint probability of the random variables. This is actually the most likely state of all random variables in the knowledge base; or more informally, the most likely state of the world. This type of inferencing ....
Santos, Jr., Eugene, et al. On a Distributed Anytime Architecture for Probabilistic Reasoning . Technical Report AFIT/EN/TR95-02, Department of Electrical and Computer Engineering, Air Force Institue of Technology, 1995.
Algorithm Selection for Sorting and Probabilistic Inference: A.. - Guo (2003) (Correct)
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E. Santos, S. E. Shimony, and E. Williams. On a distributed anytime architecture for probabilistic reasoning. Technical Report AFIT/EN/TR9406, Department of Electrical and Computer Engineering, Air Force Institute of Technology, 1995.
A Bayesian System for Integration of Algorithms for Real-Time.. - Guo (2002) (Correct)
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E. Jr. Santos and S. E. Shimony, E. Solomon, and E. Williams. On a distributed anytime architecture for probabilistic reasoning, AFIT/EN/TR95-02, Department of Electrical and Computer Engineering, Air Force Institute of Technology, 1995.
Modeling Intelligent Control of Distributed Cooperative.. - Edward Michael Williams (1997) (2 citations) (Correct)
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Santos, Jr., Eugene, et al. On a Distributed Anytime Architecture for Probabilistic Reasoning . Technical Report AFIT/EN/TR95-02, Department of Electrical and Computer Engineering, Air Force Institute of Technology, 1995. BIB-2
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