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Glenn Shafer Probabilistic Expert Systems (Cbms-Nsf Regional Conference Series in Applied Mathematics, 67)
Probabilistic Expert Systems emphasizes the basic computational principles that make probabilistic reasoning feasible in expert systems. The key to computation in these systems is the modularity of the probabilistic model. Shafer describes and
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L. C. Jain Knowledge-Based Intelligent Techniques in Industry
The successful development and deployment of expert system tools spurred the initial momentum in developing and using intelligent techniques in industry. The brittleness of expert systems and the enormous effort involved in the development and
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Adam Freeman, Allen Jones Programming .NET Security
With the spread of web-enabled desktop clients and web-server based applications, developers can no longer afford to treat security as an afterthought. It's one topic, in fact, that .NET forces you to address, since Microsoft has placed
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Yehuda Lindell Composition of Secure Multi-Party Protocols: A Comprehensive Study (LECTURE NOTES IN COMPUTER SCIENCE)
In the setting of multi-party computation, sets of two or more parties with private inputs wish to jointly compute some (predetermined) function of their inputs. General results concerning secure two-party or multi-party computation were first
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