On the computational rationale for generative models
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摘要
Generative and discriminative models are best defined by the structure of their graphical representation. This paper introduces such a definition and uses it to argue that, in some practical cases, generative models need to be formulated in order to be implemented within generate-and-test algorithms. This argument is inspired mainly by the ideas of the late Donald MacKay and by considerations of computational complexity.
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论文评审过程：Received 15 September 2005, Accepted 24 October 2006, Available online 21 December 2006.
论文官网地址：https://doi.org/10.1016/j.cviu.2006.10.002
