E-LIB Suche - Ergebnisse für: Takenouchi, Takashi

1

Improving imbalanced classification using near-miss instanc..:

Tanimoto, Akira ; Yamada, So ; Takenouchi, Takashi..
10.1016/j.eswa.2022.117130. , 2022

2

Robust contrastive learning and nonlinear ICA in the presen..:

Sasaki, Hiroaki ; Takenouchi, Takashi ; Monti, Ricardo Pio.
Sasaki , H , Takenouchi , T , Monti , R P & Hyvärinen , A 2020 , ' Robust contrastive learning and nonlinear ICA in the presence of outliers ' , Proceedings of Machine Learning Research , vol. 124 , pp. 659-668 .. , 2022

Link: http://hdl.handle.net/10..

3

Representation learning for maximization of MI, nonlinear I..:

Sasaki, Hiroaki ; Takenouchi, Takashi
http://arxiv.org/abs/2101.02083. , 2021

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

4

Lower-Bounded Proper Losses for Weakly Supervised Classific..:

Yoshida, Shuhei M ; Takenouchi, Takashi ; Sugiyama, Masashi
http://arxiv.org/abs/2103.02893. , 2021

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

5

Regret Minimization for Causal Inference on Large Treatment..:

Tanimoto, Akira ; Sakai, Tomoya ; Takenouchi, Takashi.
http://arxiv.org/abs/2006.05616. , 2020

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

6

Robust contrastive learning and nonlinear ICA in the presen..:

Sasaki, Hiroaki ; Takenouchi, Takashi ; Monti, Ricardo.
http://arxiv.org/abs/1911.00265. , 2019

Link: http://arxiv.org/abs/191..

7

Zero-shot Domain Adaptation Based on Attribute Information:

Ishii, Masato ; Takenouchi, Takashi ; Sugiyama, Masashi
http://arxiv.org/abs/1903.05312. , 2019

Link: http://arxiv.org/abs/190..

8

Unified estimation framework for unnormalized models with s..:

Uehara, Masatoshi ; Kanamori, Takafumi ; Takenouchi, Takashi.
http://arxiv.org/abs/1901.07710. , 2019

Link: http://arxiv.org/abs/190..

9

Graph-based Composite Local Bregman Divergences on Discrete..:

Kanamori, Takafumi ; Takenouchi, Takashi
http://arxiv.org/abs/1604.06568. , 2016

Link: http://arxiv.org/abs/160..

10

Causal Relationships between the Psychological Acceptance P..:

Tatsumi, Tomonori ; Takenouchi, Takashi
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC. , 2014

Link: http://www.ncbi.nlm.nih...

11

Robust Model Selection for Classification of Microarrays:

Suzuki, Ikumi ; Takenouchi, Takashi ; Ohira, Miki..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730179. , 2009

Link: http://www.ncbi.nlm.nih...

12

In Vitro and In Vivo Antibacterial Activities of CS-023 (RO..:

Koga, Tetsufumi ; Abe, Tomomi ; Inoue, Harumi...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1196225. , 2005

Link: http://www.ncbi.nlm.nih...

13

Detection of gyrA Mutations among 335 Pseudomonas aeruginos..:

Takenouchi, Takashi ; Sakagawa, Eiko ; Sugawara, Mie
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC89091. , 1999

Link: http://www.ncbi.nlm.nih...

14

Binary Classification with a Pseudo Exponential Model and I..:

Takashi Takenouchi ; Osamu Komori ; Shinto Eguchi
http://www.mdpi.com/1099-4300/17/8/5673. , 2015

Link: https://doi.org/10.3390/..

15

Binary Classification with a Pseudo Exponential Model and I..:

Takashi Takenouchi ; Osamu Komori ; Shinto Eguchi
https://dx.doi.org/10.3390/e17085673. , 2015

Link: https://doi.org/10.3390/..