E-LIB Suche - Ergebnisse für: Teshima, Takeshi

1

Rethinking Importance Weighting for Transfer Learning:

, In: Federated and Transfer Learning; Adaptation, Learning, and Optimization,

Lu, Nan ; Zhang, Tianyi ; Fang, Tongtong.. - p. 185-231 , 2022

Link: https://doi.org/10.1007/..

2

Forecasting Internally Displaced People's Movements with Ar..:

, In: Advances in Theory and Practice of Emerging Markets; Digital Innovations, Business and Society in Africa,

Oishi, Ayaka ; Teshima, Takeshi ; Akao, Kunikazu... - p. 311-339 , 2022

Link: https://doi.org/10.1007/..

3

Thermodynamic model for Zr solubility in the presence of gl..:

Kobayashi, Taishi ; Teshima, Takeshi ; Sasaki, Takayuki.
Journal of Nuclear Science and Technology. 54 (2016) 2 - p. 233-241 , 2016

Link: https://doi.org/10.1080/..

4

Red fluorescence from tautomers of 2′-hydroxychalcones indu..:

Teshima, Takeshi ; Takeishi, Madoka ; Arai, Tatsuo
New Journal of Chemistry. 33 (2009) 6 - p. 1393 , 2009

Link: https://doi.org/10.1039/..

5

Universal approximation property of invertible neural netwo..:

Ishikawa, Isao ; Teshima, Takeshi ; Tojo, Koichi...
http://arxiv.org/abs/2204.07415. , 2022

Link: http://arxiv.org/abs/220..

6

Incorporating Causal Graphical Prior Knowledge into Predict..:

Teshima, Takeshi ; Sugiyama, Masashi
http://arxiv.org/abs/2103.00136. , 2021

Link: http://arxiv.org/abs/210..

7

Rethinking Importance Weighting for Transfer Learning:

Lu, Nan ; Zhang, Tianyi ; Fang, Tongtong..
http://arxiv.org/abs/2112.10157. , 2021

Link: http://arxiv.org/abs/211..

8

Non-Negative Bregman Divergence Minimization for Deep Direc..:

Kato, Masahiro ; Teshima, Takeshi
http://arxiv.org/abs/2006.06979. , 2020

Link: http://arxiv.org/abs/200..

9

Universal Approximation Property of Neural Ordinary Differe..:

Teshima, Takeshi ; Tojo, Koichi ; Ikeda, Masahiro..
http://arxiv.org/abs/2012.02414. , 2020

Link: http://arxiv.org/abs/201..

10

Few-shot Domain Adaptation by Causal Mechanism Transfer:

Teshima, Takeshi ; Sato, Issei ; Sugiyama, Masashi
http://arxiv.org/abs/2002.03497. , 2020

Link: http://arxiv.org/abs/200..

11

Coupling-based Invertible Neural Networks Are Universal Dif..:

Teshima, Takeshi ; Ishikawa, Isao ; Tojo, Koichi...
http://arxiv.org/abs/2006.11469. , 2020

Link: http://arxiv.org/abs/200..

12

$\gamma$-ABC: Outlier-Robust Approximate Bayesian Computati..:

Fujisawa, Masahiro ; Teshima, Takeshi ; Sato, Issei.
http://arxiv.org/abs/2006.07571. , 2020

Link: http://arxiv.org/abs/200..

13

Clipped Matrix Completion: A Remedy for Ceiling Effects:

Teshima, Takeshi ; Xu, Miao ; Sato, Issei.
http://arxiv.org/abs/1809.04997. , 2018

Link: http://arxiv.org/abs/180..

14

Short-period flow oscillation during eruptions of Onikobe g..:

Teshima, Noriko ; Nishimura, Takeshi
Journal of Volcanology and Geothermal Research. 450 (2024) - p. 108092 , 2024

Link: https://doi.org/10.1016/..

15

Elevation of Urinary Liver-Type Fatty Acid-Binding Protein ..:

Shingai, Naoki ; Ota, Akihito ; Kato, Kana...
Transplantation and Cellular Therapy. 30 (2024) 1 - p. 121.e1-121.e8 , 2024

Link: https://doi.org/10.1016/..