Hisashi Kashima

	2012
53		Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Parametric Return Density Estimation for Reinforcement Learning CoRR abs/1203.3497: (2012)
	2011
52		Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki: Fast Newton-CG Method for Batch Learning of Conditional Random Fields. AAAI 2011
51		Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima: Tensor Factorization Using Auxiliary Information. ECML/PKDD (2) 2011: 501-516
50		Satoshi Oyama, Kohei Hayashi, Hisashi Kashima: Cross-Temporal Link Prediction. ICDM 2011: 1188-1193
49		Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li: A New Multi-task Learning Method for Personalized Activity Recognition. ICDM 2011: 1218-1223
48		Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima: Statistical Performance of Convex Tensor Decomposition. NIPS 2011: 972-980
47		Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima: A Subpath Kernel for Rooted Unordered Trees. PAKDD (1) 2011: 62-74
46		Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda: Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. PAKDD (2) 2011: 222-233
45		Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori: Statistical outlier detection using direct density ratio estimation. Knowl. Inf. Syst. 26(2): 309-336 (2011)
	2010
44		Rudy Raymond, Hisashi Kashima: Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs. ECML/PKDD (3) 2010: 131-147
43		Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda: Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. ICDM 2010: 1067-1072
42		Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima: A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices. ICML 2010: 1087-1094
41		Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML 2010: 799-806
40		Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese: Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. PAKDD (2) 2010: 147-159
39		Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Parametric Return Density Estimation for Reinforcement Learning. UAI 2010: 368-375
38		Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda: Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. BMC Bioinformatics 11(S-1): 31 (2010)
37		Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisashi Kashima, Masamichi Ishizaka, Hiroshi Yanagawa, Etsuko Miyamoto-Sato, Masaru Tomita: Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions. BMC Bioinformatics 11: 350 (2010)
36		Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai: Conic Programming for Multitask Learning. IEEE Trans. Knowl. Data Eng. 22(7): 957-968 (2010)
35		Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda: Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. IEICE Transactions 93-D(10): 2672-2679 (2010)
34		Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura: Least Absolute Policy Iteration--A Robust Approach to Value Function Approximation. IEICE Transactions 93-D(9): 2555-2565 (2010)
33		Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama: A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference. IJKDB 1(1): 66-80 (2010)
	2009
32		Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese: Side Effect Prediction Using Cooperative Pathways. BIBM 2009: 142-147
31		Shohei Hido, Hisashi Kashima: A Linear-Time Graph Kernel. ICDM 2009: 179-188
30		Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura: Least absolute policy iteration for robust value function approximation. ICRA 2009: 2904-2909
29		Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda: On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. PAKDD 2009: 1030-1037
28		Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda: Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. SDM 2009: 1099-1110
27		Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda: Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. Bioinformatics 25(22): 2962-2968 (2009)
26		Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama: Robust Label Propagation on Multiple Networks. IEEE Transactions on Neural Networks 20(1): 35-44 (2009)
25		Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama: Recent Advances and Trends in Large-Scale Kernel Methods. IEICE Transactions 92-D(7): 1338-1353 (2009)
24		Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama: Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. JIP 17: 138-155 (2009)
23		Shohei Hido, Hisashi Kashima, Yutaka Takahashi: Roughly balanced bagging for imbalanced data. Statistical Analysis and Data Mining 2(5-6): 412-426 (2009)
	2008
22		Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto: Training Conditional Random Fields Using Incomplete Annotations. COLING 2008: 897-904
21		Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori: Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: 223-232
20		Yuta Tsuboi, Hisashi Kashima: A new objective function for sequence labeling. ICPR 2008: 1-4
19		Hisashi Kashima, Jianying Hu, Bonnie K. Ray, Moninder Singh: K-means clustering of proportional data using L1 distance. ICPR 2008: 1-4
18		Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo: Regression with interval output values. ICPR 2008: 1-4
17		Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa: Unsupervised Change Analysis Using Supervised Learning. PAKDD 2008: 148-159
16		Shohei Hido, Hisashi Kashima: Roughly Balanced Bagging for Imbalanced Data. SDM 2008: 143-152
15		Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama: Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. SDM 2008: 443-454
14		Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama: Integration of Multiple Networks for Robust Label Propagation. SDM 2008: 716-726
	2007
13		Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe: Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. NIPS 2007
12		Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai: Multi-Task Learning via Conic Programming. NIPS 2007
11		Hisashi Kashima: Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk. IEICE Transactions 90-D(12): 2043-2052 (2007)
	2006
10		Hisashi Kashima, Naoki Abe: A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. ICDM 2006: 340-349
9		Hisashi Kashima: Risk-Sensitive Learning via Expected Shortfall Minimization. SDM 2006
	2005
8		Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda: Network-Based Problem Detection for Distributed Systems. ICDE 2005: 978-989
	2004
7		Hisashi Kashima, Yuta Tsuboi: Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. ICML 2004
6		Tsuyoshi Idé, Hisashi Kashima: Effective Dimension in Anomaly Detection: Its Application to Computer Systems. JSAI Workshops 2004: 189-204
5		Tsuyoshi Idé, Hisashi Kashima: Eigenspace-based anomaly detection in computer systems. KDD 2004: 440-449
4		Tetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya: Efficient filtering methods for clustering cDNAs with spliced sequence alignment. Bioinformatics 20(1): 29-39 (2004)
	2003
3		Akihiro Inokuchi, Hisashi Kashima: Mining Significant Pairs of Patterns from Graph Structures with Class Labels. ICDM 2003: 83-90
2		Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi: Marginalized Kernels Between Labeled Graphs. ICML 2003: 321-328
	2002
1		Hisashi Kashima, Teruo Koyanagi: Kernels for Semi-Structured Data. ICML 2002: 291-298

Coauthor Index

1	Naoki Abe	[10]
2	Kiyoshi Asai	[12] [36]
3	Steffen Bickel	[15] [24]
4	Paul von Bünau	[13]
5	Hiroaki Etoh	[8]
6	Shigeo Fujimori	[37]
7	Takeshi Fukuda	[8]
8	Mutsumi Fukuzaki	[32] [40]
9	Hirotaka Hachiya	[30] [34] [39] [41] [53]
10	Masahiro Hattori	[38]
11	Kohei Hayashi	[48] [50] [51]
12	Shohei Hido	[15] [16] [17] [21] [23] [24] [31] [45]
13	Ryo Hirade	[8]
14	Jianying Hu	[19]
15	Tsuyoshi Idé	[5] [6] [8] [17] [25]
16	Akihiro Inokuchi	[2] [3] [18]
17	Masamichi Ishizaka	[37]
18	Takafumi Kanamori	[21] [45]
19	Tsuyoshi Kato	[12] [14] [25] [26] [27] [28] [33] [36]
20	Motoaki Kawanabe	[13]
21	Daisuke Kimura	[47]
22	Akihiko Konagaya	[4]
23	Teruo Koyanagi	[1]
24	Harunobu Kubo	[17]
25	Tetsuji Kuboyama	[47]
26	Ping Li	[49]
27	Yuji Matsumoto	[22]
28	Takuya Matsuzaki	[43]
29	Hirofumi Matsuzawa	[17]
30	Etsuko Miyamoto-Sato	[37]
31	Shinsuke Mori	[22]
32	Tetsuro Morimura	[30] [34] [39] [41] [53]
33	Shinichi Nakajima	[13]
34	Atsuhiro Narita	[51]
35	Takahide Nogayama	[8]
36	Hiroki Oda	[22]
37	Kinya Okada	[33]
38	Naoaki Okazaki	[52]
39	Satoshi Oyama	[29] [35] [50]
40	Yosuke Ozawa	[37]
41	Bonnie K. Ray	[19]
42	Rudy Raymond	[44]
43	Hiroto Saigo	[18] [38]
44	Rintaro Saito	[37]
45	Mio Seki	[32] [40]
46	Jun Sese	[32] [40]
47	Tetsuo Shibuya	[4] [47]
48	Moninder Singh	[19]
49	Masashi Sugiyama	[12] [13] [14] [15] [21] [24] [25] [26] [27] [28] [30] [33] [34] [36] [39] [41] [42] [45] [53]
50	Xu Sun	[43] [46] [49]
51	Taiji Suzuki	[42] [48]
52	Yutaka Takahashi	[23]
53	Toshiyuki Tanaka	[39] [41] [53]
54	Ryota Tomioka	[42] [46] [48] [49] [51]
55	Masaru Tomita	[37]
56	Yuta Tsuboi	[7] [15] [20] [21] [22] [24] [45] [52]
57	Koji Tsuda	[2] [27] [28] [29] [35] [38]
58	Tadashi Tsumura	[8]
59	Naonori Ueda	[43] [46] [49]
60	Yuya Unno	[52]
61	Yoshihiro Yamanishi	[27] [28] [29] [35]
62	Kazutaka Yamasaki	[18]
63	Hiroshi Yanagawa	[37]

Colors in the list of coauthors

Last update Sat Jun 2 20:57:36 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page