Zobrazeno 1 - 10
of 313
pro vyhledávání: '"Sato Naoto"'
Autor:
Sato, Naoto, Katsube, Ryota
When a bug is detected by testing a quantum program on a quantum computer, we want to determine its location to fix it. To locate the bug, the quantum program is divided into several segments, and each segment is tested. However, to prepare a quantum
Externí odkaz:
http://arxiv.org/abs/2409.20011
Autor:
Sato, Naoto
During the operation of a system including a deep neural network (DNN), new input values that were not included in the training dataset are given to the DNN. In such a case, the DNN may be incrementally trained with the new input values; however, tha
Externí odkaz:
http://arxiv.org/abs/2405.06296
In silicon quantum computers, a single electron is trapped in a microstructure called a quantum dot, and its spin is used as a qubit. For large-scale integration of qubits, we previously proposed an approach of arranging the quantum dots in a two-dim
Externí odkaz:
http://arxiv.org/abs/2401.14683
Autor:
Sato, Naoto, Katsube, Ryota
When a bug is detected by testing a quantum program on a quantum computer, we want to determine its location to fix it. To locate the bug, the quantum program is divided into several segments, and each segment is tested. However, to prepare a quantum
Externí odkaz:
http://arxiv.org/abs/2309.04266
Autor:
Sato, Naoto, Maruo, Yuichi, Naganuma, Natsumi, Nogawa, Kento, Aoki, Shinsuke, Noborio, Kosuke
Publikováno v:
In Advances in Space Research 15 October 2024 74(8):4189-4195
As for software development by machine learning, a trained model is evaluated by using part of an existing dataset as test data. However, if data with characteristics that differ from the existing data is input, the model does not always behave as ex
Externí odkaz:
http://arxiv.org/abs/2005.10442
Autor:
Tagami, Kazuma, Iwama, Noriyuki, Hamada, Hirotaka, Tomita, Hasumi, Kudo, Rie, Kumagai, Natsumi, Sato, Naoto, Izumi, Seiya, Sakurai, Kasumi, Watanabe, Zen, Ishikuro, Mami, Obara, Taku, Tatsuta, Nozomi, Hoshiai, Tetsuro, Metoki, Hirohito, Saito, Masatoshi, Sugawara, Junichi, Kuriyama, Shinichi, Arima, Takahiro, Yaegashi, Nobuo
Publikováno v:
In Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health December 2023 34:159-168
Akademický článek
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Publikováno v:
IEICE Transaction D, Feb, 2020
As one type of machine-learning model, a "decision-tree ensemble model" (DTEM) is represented by a set of decision trees. A DTEM is mainly known to be valid for structured data; however, like other machine-learning models, it is difficult to train so
Externí odkaz:
http://arxiv.org/abs/1904.11753
Autor:
Sato, Naoto, Kuruma, Hironobu, Kaneko, Masanori, Nakagawa, Yuichiroh, Ogawa, Hideto, Hoang, Thai Son, Butler, Michael
In recent years, a number of methods for verifying DNNs have been developed. Because the approaches of the methods differ and have their own limitations, we think that a number of verification methods should be applied to a developed DNN. To apply a
Externí odkaz:
http://arxiv.org/abs/1811.03752