1. Bansal, N., Chen, X., Wang, Z.: Can We gain more from orthogonality regularizations in training deep networks? In: Bengio, S., Wallach, H.M., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3–8 December 2018, Montréal, Canada, pp. 4266–4276 (2018). https://proceedings.neurips.cc/paper/2018/hash/bf424cb7b0dea050a42b9739eb261a3a-Abstract.html
2. Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, Heidelberg (2006). https://www.springer.com/jp/book/9780387310732
3. Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21–27 (1967)
4. Hu, S.T.: Threshold Logic. University of California Press, Berkeley (1965)
5. Ishii, N., Torii, I., Iwata, K., Odagiri, K., Nakashima, T.: Generation of reducts and threshold functions using discernibility and indiscerniblity matrices. In: 2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA), pp. 55–61 (2017). https://ieeexplore.ieee.org/document/7965707