Výsledky vyhledávání - "Takada, Toshiyuki"

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Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values

Autor: Hanada, Hiroyuki, Takada, Toshiyuki, Sakuma, Jun, Takeuchi, Ichiro

The problem of machine learning with missing values is common in many areas. A simple approach is to first construct a dataset without missing values simply by discarding instances with missing entries or by imputing a fixed value for each missing en

Externí odkaz: http://arxiv.org/abs/1803.00218

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Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization

Autor: Takada, Toshiyuki, Hanada, Hiroyuki, Yamada, Yoshiji, Sakuma, Jun, Takeuchi, Ichiro

Privacy concern has been increasingly important in many machine learning (ML) problems. We study empirical risk minimization (ERM) problems under secure multi-party computation (MPC) frameworks. Main technical tools for MPC have been developed based

Externí odkaz: http://arxiv.org/abs/1602.04579

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