Masashi Shimbo
Masashi Shimbo
STAIR Lab, Chiba Institute of Technology
在 stair.center 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Ridge regression, hubness, and zero-shot learning
Y Shigeto, I Suzuki, K Hara, M Shimbo, Y Matsumoto
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
1482015
Controlling the learning process of real-time heuristic search
M Shimbo, T Ishida
Artificial Intelligence 146 (1), 1-41, 2003
1002003
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
L Yen, M Saerens, A Mantrach, M Shimbo
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
932008
Application of kernels to link analysis
T Ito, M Shimbo, T Kudo, Y Matsumoto
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
932005
Using the mutual k-nearest neighbor graphs for semi-supervised classification on natural language data
K Ozaki, M Shimbo, M Komachi, Y Matsumoto
Proceedings of the fifteenth conference on computational natural language …, 2011
782011
Algorithms and models for network data and link analysis
F Fouss, M Saerens, M Shimbo
Cambridge University Press, 2016
692016
The sum-over-paths covariance kernel: A novel covariance measure between nodes of a directed graph
A Mantrach, L Yen, J Callut, K Francoisse, M Shimbo, M Saerens
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6), 1112-1126, 2009
692009
Knowledge transfer for out-of-knowledge-base entities: A graph neural network approach
T Hamaguchi, H Oiwa, M Shimbo, Y Matsumoto
Proceedings of the 26th International Joint Conferences on Artificial …, 2017
612017
Developments in the theory of randomized shortest paths with a comparison of graph node distances
I Kivimäki, M Shimbo, M Saerens
Physica A: Statistical Mechanics and its Applications 393, 600-616, 2014
572014
Graph-based analysis of semantic drift in Espresso-like bootstrapping algorithms
M Komachi, T Kudo, M Shimbo, Y Matsumoto
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
502008
On the equivalence of holographic and complex embeddings for link prediction
K Hayashi, M Shimbo
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
462017
Semi-supervised classification and betweenness computation on large, sparse, directed graphs
A Mantrach, N Van Zeebroeck, P Francq, M Shimbo, H Bersini, M Saerens
Pattern recognition 44 (6), 1212-1224, 2011
452011
Improving the learning efficiencies of realtime search
T Ishida, M Shimbo
AAAI/IAAI, Vol. 1, 305-310, 1996
361996
Generic text summarization using probabilistic latent semantic indexing
H Bhandari, M Shimbo, T Ito, Y Matsumoto
Proceedings of the Third International Joint Conference on Natural Language …, 2008
342008
A discriminative learning model for coordinate conjunctions
M Shimbo, K Hara
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
332007
Centering similarity measures to reduce hubs
I Suzuki, K Hara, M Shimbo, M Saerens, K Fukumizu
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
312013
Modeling and learning semantic co-compositionality through prototype projections and neural networks
M Tsubaki, K Duh, M Shimbo, Y Matsumoto
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
292013
Coordinate structure analysis with global structural constraints and alignment-based local features
K Hara, M Shimbo, H Okuma, Y Matsumoto
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
272009
Localized centering: Reducing hubness in large-sample data
K Hara, I Suzuki, M Shimbo, K Kobayashi, K Fukumizu, M Radovanović
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
262015
Investigating the effectiveness of Laplacian-based kernels in hub reduction
I Suzuki, K Hara, M Shimbo, Y Matsumoto, M Saerens
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
242012
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