متابعة
Koji Tsuda
Koji Tsuda
Professor, GSFS, The University of Tokyo
بريد إلكتروني تم التحقق منه على k.u-tokyo.ac.jp - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
MIKA S RATSCH G, et al. An introduction to kernel-based learning algorithms‏
KR Muller‏
Neural Network IEEE Transaction 12 (2), 180-201, 2001‏
5068*2001
Marginalized kernels between labeled graphs‏
H Kashima, K Tsuda, A Inokuchi‏
Proceedings of the 20th international conference on machine learning (ICML …, 2003‏
11892003
Kernel methods in computational biology‏
B Schölkopf, K Tsuda, JP Vert‏
MIT press, 2004‏
10492004
A primer on kernel methods‏
JP Vert, K Tsuda, B Schölkopf‏
Kernel methods in computational biology 47, 35-70, 2004‏
6162004
Prediction of low-thermal-conductivity compounds with first-principles anharmonic lattice-dynamics calculations and Bayesian optimization‏
A Seko, A Togo, H Hayashi, K Tsuda, L Chaput, I Tanaka‏
Physical review letters 115 (20), 205901, 2015‏
4972015
Bayesian inference and optimal design in the sparse linear model‏
M Seeger, F Steinke, K Tsuda‏
Artificial Intelligence and Statistics, 444-451, 2007‏
3872007
COMBO: An efficient Bayesian optimization library for materials science‏
T Ueno, TD Rhone, Z Hou, T Mizoguchi, K Tsuda‏
Materials discovery 4, 18-21, 2016‏
3742016
Designing nanostructures for phonon transport via Bayesian optimization‏
S Ju, T Shiga, L Feng, Z Hou, K Tsuda, J Shiomi‏
Physical Review X 7 (2), 021024, 2017‏
3522017
Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single-and binary-component solids‏
A Seko, T Maekawa, K Tsuda, I Tanaka‏
Physical Review B 89 (5), 054303, 2014‏
3342014
ChemTS: an efficient python library for de novo molecular generation‏
X Yang, J Zhang, K Yoshizoe, K Terayama, K Tsuda‏
Science and technology of advanced materials 18 (1), 972-976, 2017‏
3012017
Fast protein classification with multiple networks‏
K Tsuda, H Shin, B Schölkopf‏
Bioinformatics 21 (suppl_2), ii59-ii65, 2005‏
2922005
Marginalized kernels for biological sequences‏
K Tsuda, T Kin, K Asai‏
BIOINFORMATICS-OXFORD- 18, S268-S275, 2002‏
2832002
Matrix exponentiated gradient updates for on-line learning and Bregman projection‏
K Tsuda, G Rätsch, MK Warmuth‏
Journal of Machine Learning Research 6 (Jun), 995-1018, 2005‏
2732005
Discriminative subsequence mining for action classification‏
S Nowozin, G Bakir, K Tsuda‏
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007‏
2682007
A new discriminative kernel from probabilistic models‏
K Tsuda, M Kawanabe, G Rätsch, S Sonnenburg, KR Müller‏
Advances in Neural Information Processing Systems 14, 2001‏
2142001
Crystal structure prediction accelerated by Bayesian optimization‏
T Yamashita, N Sato, H Kino, T Miyake, K Tsuda, T Oguchi‏
Physical Review Materials 2 (1), 013803, 2018‏
1932018
Link propagation: A fast semi-supervised learning algorithm for link prediction‏
H Kashima, T Kato, Y Yamanishi, M Sugiyama, K Tsuda‏
Proceedings of the 2009 SIAM international conference on data mining, 1100-1111, 2009‏
1872009
Ultranarrow-band wavelength-selective thermal emission with aperiodic multilayered metamaterials designed by Bayesian optimization‏
A Sakurai, K Yada, T Simomura, S Ju, M Kashiwagi, H Okada, T Nagao, ...‏
ACS central science 5 (2), 319-326, 2019‏
1792019
Kernels for graphs‏
H Kashima, K Tsuda, A Inokuchi‏
Kernel methods in computational biology 39 (1), 101-113, 2004‏
1752004
Machine-learning prediction of the d-band center for metals and bimetals‏
I Takigawa, K Shimizu, K Tsuda, S Takakusagi‏
RSC advances 6 (58), 52587-52595, 2016‏
1682016
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مقالات 1–20