Tool variable generation and counter-fact reasoning method and device based on neural network
A neural network and reasoning method technology, applied in the field of causal inference, can solve problems such as impracticality
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[0174] This embodiment is tested on handwritten digital pictures and simulation data sets. This method mainly focuses on the relationship between handwritten digital images and corresponding labels, and obtains only instrumental variable information related to label conditions through automatic instrumental variable decoupling, thereby assisting handwritten digital recognition to achieve maximum accuracy.
[0175] We are given a handwritten digital image X, and the relationship between the label Y corresponding to the handwritten digital image is:
[0176] Y=g(X)+e+σ
[0177] in is an unobservable confounding variable, is the error term, g is the real potential relationship (non-linear mapping function) between the handwritten digital picture X and the label Y corresponding to the handwritten digital picture, here we assume that the relationship between them is g(X)=-X. At the same time, the handwritten digital image is affected by the latent instrumental variable Z~Unif(...
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