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Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating
However, this assumption complicates the application of such models to real data, given that the causal relationships between features are unknown in most cases.
Money flow network among firms' accounts in a regional bank of Japan
In this study, we investigate the flow of money among bank accounts possessed by firms in a region by employing an exhaustive list of all the bank transfers in a regional bank in Japan, to clarify how the network of money flow is related to the economic activities of the firms.
Use of recurrent infomax to improve the memory capability of input-driven recurrent neural networks
The inherent transient dynamics of recurrent neural networks (RNNs) have been exploited as a computational resource in input-driven RNNs.
Creating Japanese Political Corpus from Local Assembly Minutes of 47 prefectures
This paper describes a Japanese political corpus created for interdisciplinary political research.
