Hisashi Kashima

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