Search Results for author: Masayoshi Hayashi

Found 1 papers, 0 papers with code

Binary Matrix Completion Using Unobserved Entries

no code implementations13 Mar 2018 Masayoshi Hayashi, Tomoya Sakai, Masashi Sugiyama

In this paper, motivated by a semi-supervised classification method recently proposed by Sakai et al. (2017), we develop a method for the BMC problem which can use all of positive, negative, and unobserved entries, by combining the risks of Davenport et al. (2014) and Hsieh et al. (2015).

General Classification Matrix Completion +1

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