Zobrazeno 1 - 10
of 42 993
pro vyhledávání: '"Kiyohara, A."'
Autor:
Sullivan, Dan
Publikováno v:
Film Comment, 2018 Mar 01. 54(2), 26-26.
Externí odkaz:
https://www.jstor.org/stable/44991228
Publikováno v:
Journal of Epidemiology and Community Health (1979-), 2015 Mar 01. 69(3), 292-292.
Externí odkaz:
http://www.jstor.org/stable/44017552
Autor:
Kiyohara, Mitsuka, Ishihata, Masakazu
Issues of inequity in U.S. high schools' course scheduling did not previously exist. However, in recent years, with the increase in student population and course variety, students perceive that the course scheduling method is unfair. Current integer
Externí odkaz:
http://arxiv.org/abs/2408.12032
Autor:
Shimizu, Tatsuhiro, Tanaka, Koichi, Kishimoto, Ren, Kiyohara, Haruka, Nomura, Masahiro, Saito, Yuta
We explore off-policy evaluation and learning (OPE/L) in contextual combinatorial bandits (CCB), where a policy selects a subset in the action space. For example, it might choose a set of furniture pieces (a bed and a drawer) from available items (be
Externí odkaz:
http://arxiv.org/abs/2408.11202
We study off-policy evaluation (OPE) in the problem of slate contextual bandits where a policy selects multi-dimensional actions known as slates. This problem is widespread in recommender systems, search engines, marketing, to medical applications, h
Externí odkaz:
http://arxiv.org/abs/2402.02171
Publikováno v:
広島経済大学研究論集 = HUE Journal of Humanities, Social and Natural Science. 45(2):33-50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::b4e6dca704a9aa4bd68a35258833a5ab
http://id.nii.ac.jp/1821/00000281/
http://id.nii.ac.jp/1821/00000281/
Autor:
Kiyohara, Haruka, Kishimoto, Ren, Kawakami, Kosuke, Kobayashi, Ken, Nakata, Kazuhide, Saito, Yuta
Off-Policy Evaluation (OPE) aims to assess the effectiveness of counterfactual policies using only offline logged data and is often used to identify the top-k promising policies for deployment in online A/B tests. Existing evaluation metrics for OPE
Externí odkaz:
http://arxiv.org/abs/2311.18207
Autor:
Kiyohara, Haruka, Kishimoto, Ren, Kawakami, Kosuke, Kobayashi, Ken, Nakata, Kazuhide, Saito, Yuta
This paper introduces SCOPE-RL, a comprehensive open-source Python software designed for offline reinforcement learning (offline RL), off-policy evaluation (OPE), and selection (OPS). Unlike most existing libraries that focus solely on either policy
Externí odkaz:
http://arxiv.org/abs/2311.18206
Autor:
Ryoya Sakakibara, Shinya Sugimoto, Kaoru Takabayashi, Hiroki Kiyohara, Yusuke Wakisaka, Yuta Kaieda, Miho Kawaida, Yusuke Yoshimatsu, Tomohisa Sujino, Naoki Hosoe, Motohiko Kato, Masayuki Shimoda, Yohei Mikami, Yasushi Iwao, Takanori Kanai
Publikováno v:
Intestinal Research, Vol 22, Iss 4, Pp 428-438 (2024)
Background/Aims Poorly differentiated adenocarcinoma, signet-ring cell carcinoma, and mucinous adenocarcinoma (por/sig/muc), which are considered to be histologic subtypes with a poor prognosis, occur more frequently with colitis-associated cancer th
Externí odkaz:
https://doaj.org/article/ad7fa628e5684fe7aa330fa029cb3663
Autor:
Takeshi Nagashima, Ken Yamaguchi, Kenichi Urakami, Yuji Shimoda, Sumiko Ohnami, Keiichi Ohshima, Tomoe Tanabe, Akane Naruoka, Fukumi Kamada, Masakuni Serizawa, Keiichi Hatakeyama, Shumpei Ohnami, Koji Maruyama, Tohru Mochizuki, Maki Mizuguchi, Akio Shiomi, Yasuhisa Ohde, Etsuro Bando, Teiichi Sugiura, Takashi Mukaigawa, Seiichiro Nishimura, Yasuyuki Hirashima, Koichi Mitsuya, Shusuke Yoshikawa, Yoshio Kiyohara, Yasuhiro Tsubosa, Hirohisa Katagiri, Masashi Niwakawa, Kaoru Takahashi, Hiroya Kashiwagi, Yoshichika Yasunaga, Yuji Ishida, Takashi Sugino, Hirotsugu Kenmotsu, Masanori Terashima, Mitsuru Takahashi, Katsuhiko Uesaka, Yasuto Akiyama
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract In cancer genome analysis, identifying pathogenic alterations and assessing their effects on oncogenic processes is important. Although whole exome sequencing (WES) can effectively detect such changes, driver alterations could not be identif
Externí odkaz:
https://doaj.org/article/78e02debd67d4858aa07bf66640f5372