Takeuchi I - Search Results

1

Author Correction: Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.

Inoue K, Karasuyama M, Nakamura R, Konno M, Yamada D, Mannen K, Nagata T, Inatsu Y, Yawo H, Yura K, Béjà O, Kandori H, Takeuchi I. Inoue K, et al. Among authors: takeuchi i. Commun Biol. 2021 Apr 30;4(1):532. doi: 10.1038/s42003-021-02090-5. Commun Biol. 2021. PMID: 33931743 Free PMC article. No abstract available.

2

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.

Inoue K, Karasuyama M, Nakamura R, Konno M, Yamada D, Mannen K, Nagata T, Inatsu Y, Yawo H, Yura K, Béjà O, Kandori H, Takeuchi I. Inoue K, et al. Among authors: takeuchi i. Commun Biol. 2021 Mar 19;4(1):362. doi: 10.1038/s42003-021-01878-9. Commun Biol. 2021. PMID: 33742139 Free PMC article.

3

Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach.

Karasuyama M, Inoue K, Nakamura R, Kandori H, Takeuchi I. Karasuyama M, et al. Among authors: takeuchi i. Sci Rep. 2018 Oct 22;8(1):15580. doi: 10.1038/s41598-018-33984-w. Sci Rep. 2018. PMID: 30349075 Free PMC article.

4

Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation.

Inatsu Y, Karasuyama M, Inoue K, Kandori H, Takeuchi I. Inatsu Y, et al. Among authors: takeuchi i. Neural Comput. 2020 Oct;32(10):1998-2031. doi: 10.1162/neco_a_01310. Epub 2020 Aug 14. Neural Comput. 2020. PMID: 32795233

5

Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions.

Inatsu Y, Karasuyama M, Inoue K, Takeuchi I. Inatsu Y, et al. Among authors: takeuchi i. Neural Comput. 2020 Dec;32(12):2486-2531. doi: 10.1162/neco_a_01332. Epub 2020 Oct 20. Neural Comput. 2020. PMID: 33080163

6

Safe Triplet Screening for Distance Metric Learning.

Yoshida T, Takeuchi I, Karasuyama M. Yoshida T, et al. Among authors: takeuchi i. Neural Comput. 2019 Dec;31(12):2432-2491. doi: 10.1162/neco_a_01240. Epub 2019 Oct 15. Neural Comput. 2019. PMID: 31614101

7

Bayesian Quadrature Optimization for Probability Threshold Robustness Measure.

Iwazaki S, Inatsu Y, Takeuchi I. Iwazaki S, et al. Among authors: takeuchi i. Neural Comput. 2021 Nov 12;33(12):3413-3466. doi: 10.1162/neco_a_01442. Neural Comput. 2021. PMID: 34710906

8

Multiple incremental decremental learning of support vector machines.

Karasuyama M, Takeuchi I. Karasuyama M, et al. Among authors: takeuchi i. IEEE Trans Neural Netw. 2010 Jul;21(7):1048-59. doi: 10.1109/TNN.2010.2048039. Epub 2010 Jun 14. IEEE Trans Neural Netw. 2010. PMID: 20550990

9

Nonlinear regularization path for quadratic loss support vector machines.

Karasuyama M, Takeuchi I. Karasuyama M, et al. Among authors: takeuchi i. IEEE Trans Neural Netw. 2011 Oct;22(10):1613-25. doi: 10.1109/TNN.2011.2164265. Epub 2011 Aug 30. IEEE Trans Neural Netw. 2011. PMID: 21880570

10

Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives.

Inatsu Y, Sugita D, Toyoura K, Takeuchi I. Inatsu Y, et al. Among authors: takeuchi i. Neural Comput. 2020 Oct;32(10):2032-2068. doi: 10.1162/neco_a_01307. Epub 2020 Aug 14. Neural Comput. 2020. PMID: 32795230

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