論文

• Sugiyama, M., Du Plessis M.C., & Yamada, M.. Learning under non-stationarity:Covariate shift and class-balance change, WIREs Computational Statistics, 2013.
• Sugiyama, M., Suzuki, T., Kanamori, T., Du Plessis, M.C., Liu, S., & Takeuchi, I.. Density-difference estimation, Neural Computation, vol. 25, no. 10, pp. 2734-2775, 2013.
• Sugiyama, M., Liu, S., Du Plessis, M.C., Yamanaka, M., Yamada, M., Suzuki, T., & Kanamori, T.. Direct divergence approximationbetween probability distributions and its applications inmachine learning, Journal of Computing Science and Engineering, vol. 7, no. 2, pp. 99-111, 2013.

国際会議発表 (査読有り)

• Sugiyama, M., Suzuki, T., Kanamori, T., Du Plessis, M.C., Liu, S., Takeuchi, I.. Density-difference estimation, Neural Information Processing Systems(NIPS2012), Advances in Neural Information Processing Systems 25, P.Bartlett,F.C.N.Pereira,C.J.Burges,L.Bottou,and K.Q.Weinberger, pp. 692-700, 2012.

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