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Relationship Between Management Policies and Profitability for Second Section-Listed Manufacturing Companies of the Tokyo Stock Exchange (2016 Results).

, , and . IIAI-AAI, page 697-700. IEEE, (2019)

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Information-Theoretic Variable Selection in Neural Networks., , , and . FOCI, page 222-227. IEEE, (2007)Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis., , , , , , and . IIAI-AAI, page 667-672. IEEE, (2019)Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons., , and . ICONIP (1), volume 4232 of Lecture Notes in Computer Science, page 626-633. Springer, (2006)Selective potentiality maximization for input neuron selection in self-organizing maps., and . IJCNN, page 1-8. IEEE, (2015)Interpreting cabinet approval ratings by neural networks., , and . Artificial Intelligence and Applications, page 72-77. IASTED/ACTA Press, (2007)Identifying Important Tweets by Considering the Potentiality of Neurons., , , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 99-A (8): 1555-1559 (2016)Relationship Between Management Policies and Profitability for Second Section-Listed Manufacturing Companies of the Tokyo Stock Exchange (2016 Results)., , and . IIAI-AAI, page 697-700. IEEE, (2019)Neural potential learning for tweets classification and interpretation., , , and . SoCPaR, page 141-148. IEEE, (2015)Serially Disentangled Learning for Multi-Layered Neural Networks., and . IEA/AIE, volume 13343 of Lecture Notes in Computer Science, page 669-681. Springer, (2022)Local Selective Learning for Interpreting Multi-Layered Neural Networks., , and . SCIS&ISIS, page 115-122. IEEE, (2018)