关注
Hiroshi Kajino
Hiroshi Kajino
N/A
在 rs.tus.ac.jp 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A Convex Formulation for Learning from Crowds.
H Kajino, Y Tsuboi, H Kashima
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence …, 2012
1172012
Molecular hypergraph grammar with its application to molecular optimization
H Kajino
International Conference on Machine Learning, 3183-3191, 2019
1002019
Learning from crowds and experts
H Kajino, Y Tsuboi, I Sato, H Kashima
Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
502012
Preserving worker privacy in crowdsourcing
H Kajino, H Arai, H Kashima
Data Mining and Knowledge Discovery, 1-22, 2014
482014
Clustering crowds
H Kajino, Y Tsuboi, H Kashima
Proceedings of the AAAI conference on Artificial Intelligence 27 (1), 1120-1127, 2013
452013
Instance-privacy preserving crowdsourcing
H Kajino, Y Baba, H Kashima
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 …, 2014
252014
Bidirectional learning for time-series models with hidden units
T Osogami, H Kajino, T Sekiyama
International Conference on Machine Learning, 2711-2720, 2017
222017
Towards stable symbol grounding with zero-suppressed state autoencoder
M Asai, H Kajino
Proceedings of the International Conference on Automated Planning and …, 2019
192019
クラウドソーシングと機械学習 (< 特集> 知識の転移)
鹿島久嗣, 梶野洸
人工知能 27 (4), 381-388, 2012
18*2012
Classical planning in deep latent space
M Asai, H Kajino, A Fukunaga, C Muise
Journal of Artificial Intelligence Research 74, 1599-1686, 2022
162022
Cogra: Concept-drift-aware stochastic gradient descent for time-series forecasting
K Miyaguchi, H Kajino
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4594-4601, 2019
162019
A Functional Dynamic Boltzmann Machine.
H Kajino
IJCAI, 1987-1993, 2017
13*2017
Quality control for crowdsourced POI collection
S Kajimura, Y Baba, H Kajino, H Kashima
Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015
102015
A differentiable point process with its application to spiking neural networks
H Kajino
International Conference on Machine Learning, 5226-5235, 2021
72021
Active learning for multi-relational data construction
H Kajino, A Kishimoto, A Botea, E Daly, S Kotoulas
Proceedings of the 24th International Conference on World Wide Web, 560-569, 2015
72015
Privacy-preserving crowdsourcing
H Kajino
Ph. D. Dissertation. Univ. of Tokyo, 2015
72015
Neuron as an Agent
S Ohsawa, K Akuzawa, T Matsushima, G Bezerra, Y Iwasawa, H Kajino, ...
62018
Link prediction in sparse networks by incidence matrix factorization
S Yokoi, H Kajino, H Kashima
Journal of Information Processing 25, 477-485, 2017
62017
Intelligent application scenario testing and error detection
AI Botea, L Shwartz, A Kishimoto, R Marinescu, HOU Yufang, H Kajino, ...
US Patent 12,013,776, 2024
52024
Classical planning in deep latent space
M Asai, H Kajino, A Fukunaga, C Muise
arXiv preprint arXiv:2107.00110, 2021
32021
系统目前无法执行此操作,请稍后再试。
文章 1–20