Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kisamori Keiichi"'
Autor:
Itahashi Kenta, Ahn DeukSoon, Berg Georg P.A., Dozono Masanori, Etoh Daijiro, Fujioka Hiroyuki, Fukuda Naoki, Fukunishi Nobuhisa, Geissel Hans, Haettner Emma, Hashimoto Tadashi, Hayano Ryugo S., Hirenzaki Satoru, Horii Hiroshi, Ikeno Natsumi, Inabe Naoto, Iwasaki Masahiko, Kameda Daisuke, Kawase Shouichiro, Kisamori Keiichi, Kiyokawa Yu, Kubo Toshiyuki, Kusaka Kensuke, Matsushita Masafumi, Michimasa Shin’ichiro, Mishima Go, Miya Hiroyuki, Murai Daichi, Nagahiro Hideko, Nishi Takahiro, Ota Shinsuke, Sakamoto Naruhiko, Sekiguchi Kimiko, Suzuki Hiroshi, Suzuki Ken, Takaki Motonobu, Takeda Hiroyuki, Tanaka Yoshiki K., Uesaka Tomohiro, Wada Yasumori, Watanabe Yuni N., Weick Helmut, Yamakami Hiroki, Yanagisawa Yoshiyuki, Yoshida Koichi
Publikováno v:
EPJ Web of Conferences, Vol 130, p 01017 (2016)
We conduct an experimental project to make spectroscopy of deeply bound pionic atoms systematically over wide range of nuclei. We aim at studying the strong interaction in the low energy region, which has close connection to spontaneous chiral symmet
Externí odkaz:
https://doaj.org/article/4eeaffe18e1940c88cfae610f74d463f
The interpretability of machine learning, particularly for deep neural networks, is crucial for decision making in real-world applications. One approach is replacing the un-interpretable machine learning model with a surrogate model, which has a simp
Externí odkaz:
http://arxiv.org/abs/1906.09391
We propose a novel calibration method for computer simulators, dealing with the problem of covariate shift. Covariate shift is the situation where input distributions for training and test are different, and ubiquitous in applications of simulations.
Externí odkaz:
http://arxiv.org/abs/1809.08159
Publikováno v:
AISTATS 2020, 23rd International Conference on Artificial Intelligence and Statistics, June 3-5, 2020, Palermo, Sicily, Italy (Virtual Conference)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::aa1d70e566c25650becf562ceb8db9a9
http://www.eurecom.fr/publication/6100
http://www.eurecom.fr/publication/6100
Akademický článek
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