التفاصيل البيبلوغرافية
| العنوان: |
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks |
| المؤلفون: |
Fung, Robert, Chang, Kuo-Chu |
| سنة النشر: |
2013 |
| مصطلحات موضوعية: |
Computer Science - Artificial Intelligence, stat, info |
| الوصف: |
Stochastic simulation approaches perform probabilistic inference in Bayesian networks by estimating the probability of an event based on the frequency that the event occurs in a set of simulation trials. This paper describes the evidence weighting mechanism, for augmenting the logic sampling stochastic simulation algorithm [Henrion, 1986]. Evidence weighting modifies the logic sampling algorithm by weighting each simulation trial by the likelihood of a network's evidence given the sampled state node values for that trial. We also describe an enhancement to the basic algorithm which uses the evidential integration technique [Chin and Cooper, 1987]. A comparison of the basic evidence weighting mechanism with the Markov blanket algorithm [Pearl, 1987], the logic sampling algorithm, and the evidence integration algorithm is presented. The comparison is aided by analyzing the performance of the algorithms in a simple example network. ; Comment: Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) |
| نوع الوثيقة: |
text |
| اللغة: |
unknown |
| العلاقة: |
http://arxiv.org/abs/1304.1504Test |
| الإتاحة: |
http://arxiv.org/abs/1304.1504Test |
| حقوق: |
undefined |
| رقم الانضمام: |
edsbas.92086F3 |
| قاعدة البيانات: |
BASE |
