Hisashi Kashima
Hisashi Kashima
Professor, Kyoto University
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Zitiert von
Zitiert von
Marginalized kernels between labeled graphs
H Kashima, K Tsuda, A Inokuchi
Proceedings of the 20th international conference on machine learning (ICML …, 2003
Direct importance estimation with model selection and its application to covariate shift adaptation
M Sugiyama, S Nakajima, H Kashima, P Buenau, M Kawanabe
Advances in neural information processing systems 20, 2007
Direct importance estimation for covariate shift adaptation
M Sugiyama, T Suzuki, S Nakajima, H Kashima, P Von Bünau, ...
Annals of the Institute of Statistical Mathematics 60, 699-746, 2008
Eigenspace-based anomaly detection in computer systems
T Idé, H Kashima
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
Roughly balanced bagging for imbalanced data
S Hido, H Kashima, Y Takahashi
Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (5‐6 …, 2009
Nonparametric return distribution approximation for reinforcement learning
T Morimura, M Sugiyama, H Kashima, H Hachiya, T Tanaka
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
Statistical outlier detection using direct density ratio estimation
S Hido, Y Tsuboi, H Kashima, M Sugiyama, T Kanamori
Knowledge and information systems 26, 309-336, 2011
Estimation of low-rank tensors via convex optimization
R Tomioka, K Hayashi, H Kashima
arXiv preprint arXiv:1010.0789, 2010
A parameterized probabilistic model of network evolution for supervised link prediction
H Kashima, N Abe
Sixth International Conference on Data Mining (ICDM'06), 340-349, 2006
Tensor factorization using auxiliary information
A Narita, K Hayashi, R Tomioka, H Kashima
Data Mining and Knowledge Discovery 25, 298-324, 2012
Statistical performance of convex tensor decomposition
R Tomioka, T Suzuki, K Hayashi, H Kashima
Advances in neural information processing systems 24, 2011
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
Kernels for semi-structured data
H Kashima, T Koyanagi
ICML 2, 291-298, 2002
Kernels for graphs
H Kashima, K Tsuda, A Inokuchi
Kernel methods in computational biology 39 (1), 101-113, 2004
Random features strengthen graph neural networks
R Sato, M Yamada, H Kashima
Proceedings of the 2021 SIAM international conference on data mining (SDM …, 2021
Knowledge tracing machines: Factorization machines for knowledge tracing
JJ Vie, H Kashima
Proceedings of the AAAI conference on artificial intelligence 33 (01), 750-757, 2019
Direct density ratio estimation for large-scale covariate shift adaptation
Y Tsuboi, H Kashima, S Hido, S Bickel, M Sugiyama
Journal of Information Processing 17, 138-155, 2009
A linear-time graph kernel
S Hido, H Kashima
2009 Ninth IEEE International Conference on Data Mining, 179-188, 2009
Kernels for graph classification
H Kashima, A Inokuchi
ICDM workshop on active mining 2002, 2002
Steered crowdsensing: Incentive design towards quality-oriented place-centric crowdsensing
R Kawajiri, M Shimosaka, H Kashima
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
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