کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9651749 | 1438536 | 2005 | 35 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Foundations of probabilistic inference with uncertain evidence
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The extension is different from earlier probabilistic approaches such as Jeffrey's rule of probability kinematics and Cheeseman's rule of distributed meaning, by introducing two forms of evidential meaning representation are presented, for which non-probabilistic analogues are found in theories such as Evidence Theory and Possibility Theory. By viewing the statement of evidential meaning as a separate step in the inference process, a clear probabilistic interpretation can be given to these forms of representation, and a generalization of Bayes Theorem can be derived. This generalized rule of inference allows uncertain evidence to be incorporated into probabilistic inference procedures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Approximate Reasoning - Volume 39, Issue 1, April 2005, Pages 49-83
Journal: International Journal of Approximate Reasoning - Volume 39, Issue 1, April 2005, Pages 49-83
نویسندگان
Frank J. Groen, Ali Mosleh,