Výsledky vyhledávání - "Takuo Hamaguchi"

Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension

Autor: Masaaki Imaizumi, Hirofumi Ota, Takuo Hamaguchi

We develop a general framework for statistical inference with the 1-Wasserstein distance. Recently, the Wasserstein distance has attracted considerable attention and has been widely applied to various machine learning tasks because of its excellent p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::346065ffbdb7c45fa4a7df7797de8841

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Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach

Autor: Masashi Shimbo, Yuji Matsumoto, Takuo Hamaguchi, Hidekazu Oiwa

Publikováno v: IJCAI

Knowledge base completion (KBC) aims to predict missing information in a knowledge base.In this paper, we address the out-of-knowledge-base (OOKB) entity problem in KBC:how to answer queries concerning test entities not observed at training time. Exi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d3202286d1de42adb489e873d7c25b8
https://doi.org/10.24963/ijcai.2017/250

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Knowledge Base Completion with Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

Autor: Takuo Hamaguchi, Masashi Shimbo, Yuji Matsumoto, Hidekazu Oiwa

Publikováno v: Transactions of the Japanese Society for Artificial Intelligence. 33:F-H72_1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8782d08ab43a6e6e91993959f2cfa9cb
https://doi.org/10.1527/tjsai.f-h72

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