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Shibata, Katsunari
24  Ergebnisse:
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1

Dual immunocytochemical staining of annexin A10 and p53 in ..:

Kobayashi, Go ; Hayashi, Tetsutaro ; Sentani, Kazuhiro...
Cancer Cytopathology.  131 (2023)  9 - p. 548-560 , 2023
Link: https://doi.org/10.1002/..
 
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In-Hospital Fall Risk Prediction by Objective Measurement o..:

Tanaka, Shinya ; Imaizumi, Takahiro ; Morohashi, Akemi...
Journal of the American Medical Directors Association.  24 (2023)  12 - p. 1861-1867.e2 , 2023
Link: https://doi.org/10.1016/..
 
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3

Sensitivity – Local index to control chaoticity or gradient..:

Shibata, Katsunari ; Ejima, Takuya ; Tokumaru, Yuki.
Neural Networks.  143 (2021)  - p. 436-451 , 2021
Link: https://doi.org/10.1016/..
 
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4

Adaptive balancing of exploration and exploitation around t..:

Matsuki, Toshitaka ; Shibata, Katsunari
Neural Networks.  132 (2020)  - p. 19-29 , 2020
Link: https://doi.org/10.1016/..
 
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5

Q-learning with exploration driven by internal dynamics in ..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Matsuki, Toshitaka ; Inoue, Souya ; Shibata, Katsunari - p. 1-7 , 2020
Link: https://doi.org/10.1109/..
 
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6

Sensitivity - Local Index to Control Chaoticity or Gradient..:

Shibata, Katsunari ; Ejima, Takuya ; Tokumaru, Yuki.
http://arxiv.org/abs/2012.13134.  , 2020
Link: http://arxiv.org/abs/201..
 
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7

Learning Time Constant of Continuous-Time Neurons with Grad..:

, In: Lecture Notes in Mechanical Engineering; RITA 2018,
Matsuki, Toshitaka ; Shibata, Katsunari - p. 149-159 , 2019
Link: https://doi.org/10.1007/..
 
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8

Chaos-Based Reinforcement Learning When Introducing Refract..:

, In: Robot Intelligence Technology and Applications; Communications in Computer and Information Science,
Sato, Katsuki ; Goto, Yuki ; Shibata, Katsunari - p. 76-84 , 2019
Link: https://doi.org/10.1007/..
 
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9

Reinforcement Learning of a Memory Task Using an Echo State..:

, In: Robot Intelligence Technology and Applications 5; Advances in Intelligent Systems and Computing,
Matsuki, Toshitaka ; Shibata, Katsunari - p. 17-26 , 2018
Link: https://doi.org/10.1007/..
 
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10

Communications that Emerge through Reinforcement Learning U..:

Shibata, Katsunari
http://arxiv.org/abs/1703.03543.  , 2017
Link: http://arxiv.org/abs/170..
 
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11

New Reinforcement Learning Using a Chaotic Neural Network f..:

Shibata, Katsunari ; Goto, Yuki
http://arxiv.org/abs/1705.05551.  , 2017
Link: http://arxiv.org/abs/170..
 
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12

Functions that Emerge through End-to-End Reinforcement Lear..:

Shibata, Katsunari
http://arxiv.org/abs/1703.02239.  , 2017
Link: http://arxiv.org/abs/170..
 
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13

Injury due to extravasation of thiopental and propofol: Ris..:

Shibata, Yuuka ; Yokooji, Tomoharu ; Itamura, Ryo...
Biochemistry and Biophysics Reports.  8 (2016)  - p. 207-211 , 2016
Link: https://doi.org/10.1016/..
 
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14

Injury due to extravasation of thiopental and propofol: Ris..:

Shibata, Yuuka ; Yokooji, Tomoharu ; Itamura, Ryo...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613958/.  , 2016
Link: http://www.ncbi.nlm.nih...
 
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15

Emergence of Intelligence through Reinforcement Learning wi..:

Katsunari Shibata
ISBN:978-953-307-369-9.  , 2011
Link: https://mts.intechopen.c..
 
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