Probabilistic Reasoning via Deep Learning: Neural Association Models

24 Mar 2016Quan LiuHui JiangAndrew EvdokimovZhen-Hua LingXiaodan ZhuSi WeiYu Hu

In this paper, we propose a new deep learning approach, called neural association model (NAM), for probabilistic reasoning in artificial intelligence. We propose to use neural networks to model association between any two events in a domain... (read more)

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