no code implementations • 3 Apr 2023 • Shota Hozumi, Kentaro Kutsukake, Kota Matsui, Syunya Kusakawa, Toru Ujihara, Ichiro Takeuchi
We interpret this problem as an active-learning (AL) of the level set estimation (LSE) problem.
no code implementations • 9 Nov 2019 • Kota Matsui, Shunya Kusakawa, Keisuke Ando, Kentaro Kutsukake, Toru Ujihara, Ichiro Takeuchi
In this paper, we propose an active learning method for an inverse problem that aims to find an input that achieves a desired structured-output.
no code implementations • 2 Jun 2018 • Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori
In this paper, we propose a variable selection method for general nonparametric kernel-based estimation.
no code implementations • 13 Sep 2014 • Kota Matsui, Wataru Kumagai, Takafumi Kanamori
Our algorithm consists of two steps; one is the direction estimate step and the other is the search step.