>Publication Lists

• Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, and Toshiyuki Tanaka
  Nonparametric return distribution approximation for reinforcement learning,
  in Proc. 27th International Conference on Machine Learning (ICML2010), to appear.
  
  
• Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, and Kenji Doya
  A generalized natural actor-critic Algorithm,
  in Proc. 23st Annual Conference on Neural Information Processing Systems (NIPS2009), pp. 1312-1320, 2010.
  
  
• Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, and Tetsuro Morimura
  Least absolute policy iteration for robust value function approximation,
  in Proc. 2009 IEEE International Conference on Robotics and Automation (ICRA2009), pp. 2904-2909, 2009.
  
  
• Shohei Hido and Hisashi Kashima
  A Linear-time Graph Kernel,
  Proceedings of 2009 IEEE International Conference on Data Mining (ICDM 09), pp.179-188.
  
  
• Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama and Masayuki Numao
  Trace Mining from Distributed Assembly Databases for Causal Analysis,
  Proceedings of 2009 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2009; Lecture Notes in Computer Science, Springer, Vol. 5476, pp.731-740.
  
  
• Tsuyoshi Ide, Aurelie C. Lozano, Naoki Abe, and Yan Liu
  Proximity-Based Anomaly Detection using Sparse Structure Learning,
  Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09), pp.97-108.
  
  
• Tsuyoshi Ide, and Sei Kato
  Travel-Time Prediction using Gaussian Process Regression: A Trajectory-Based Approach,
  Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09), pp.1185-1196.
  
  
• Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, and Kenji Doya
  A new natural policy gradient by stationary distribution metric,
  Machine Learning and Knowledge Discovery in Databases, Vol. 5212, pp. 82-97, 2008 (presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2008).
  
  
• Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama and Takafumi Kanamori
  Inlier-based Outlier Detection via Direct Density Ratio Estimation,
  Proceedings of 2008 IEEE International Conference on Data Mining (ICDM 08), pp.223-232, 2008.
  
  
• Takafumi Kanamori, Shohei Hido and Masashi Sugiyama
  Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection,
  Proceedings of the 2008 Annual Conference on Neural Information Processing Systems (NIPS 08), pp.809-816.
  
  
• Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima, and Jun Sese
  Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction,
  Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2008; Lecture Notes in Computer Science, Springer, Vol. 5012, 2008, pp.333-344.
  
  
• Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Harunobu Kubo and Hirofumi Matsuzawa
  Unsupervised Change Analysis using Supervised Learning,
  in Proc. 2008 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008), Osaka, Japan, May, 2008, to appear.
  
  
• Shohei Hido and Hisashi Kashima
  Roughly Balanced Bagging for Imbalanced Data,
  in Proc. 2008 SIAM Conference on Data Mining (SDM2008), Atlanta, Georgia, USA, April, 2008, to appear.
  
  
• Tsuyoshi Kato, Hisashi Kashima and Masashi Sugiyama
  Integration of Multiple Networks for Robust Label Propagation,
  in Proc. 2008 SIAM Conference on Data Mining (SDM2008), Atlanta, Georgia, USA, April, 2008, to appear.
  
  
• Yuta Tsuboi, Shohei Hido, Hisashi Kashima, Steffen Bickel and Masashi Sugiyama
  Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation,
  in Proc. 2008 SIAM Conference on Data Mining (SDM2008), Atlanta, Georgia, USA, April, 2008, to appear.
  
  
• Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bunau and Motoaki Kawanabe
  Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation,
  in Proc. 21st Annual Conference on Neural Information Processing Systems (NIPS2007), Vancouver, Canada, December, 2007.
  
  
• Tsuyoshi Kato, Hisashi Kashima and Masashi Sugiyama
  Multi-Task Learning via Conic Programming,
  in Proc. 21st Annual Conference on Neural Information Processing Systems (NIPS2007), Vancouver, Canada, December, 2007.
  
  
• Tsuyoshi Ide, Spiros Papadimitriou and Michail Vlachos
  Computing Correlation Anomaly Scores using Stochastic Nearest Neighbors,
  in Proc. 7th IEEE International Conference on Data Mining (ICDM2007), Omaha, Nebraska, USA, October, 2007, pp.523-528 [pdf].
  
  
• Hisashi Kashima and Kazutaka Yamasaki
  Regression with Intervals,
  in Proc. International Workshop on Data Mining and Statistical Science (DMSS2007), Tokyo, Japan, October, 2007, pp.209-217.
  
  
• Rikiya Takahashi
  Separating Precision and Mean in Dirichlet-enhanced High-order Marknov Models,
  in Proc. 18th European Conference on Machine Learning (ECML2007), Warsaw, Poland, September, 2007, pp.382-393.
  
  
• Tsuyoshi Ide and Koji Tsuda
  Change-point detection using Krylov subspace learning,
  Proceedings of 2007 SIAM International Conference on Data Mining (SDM2007), Minneapolis, Minnesota, USA, April, 2007, pp.515-520 [pdf].
  
  
• Tsuyoshi Ide
  Translational symmetry in subsequence time-series clustering,
  New Frontiers in Artificial Intelligence: Proceeding of the 20th Annual Conferences of the Japanese Society for Artificial Intelligence (JSAI 2006, 7-9 June, 2006, Tokyo), Lecture Notes in Artificial Intelligence, Springer, Vol. 4384, pp.5-18 [link].
  
  
• Tsuyoshi Ide,
  Why does Subsequence Time-Series Clustering Produce Sine Waves?
  Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 06), Sep 18-22, 2006, Lecture Notes in Artificial Intelligence 4213, Springer, pp.311-322 [link].
  
  
• Tetsuji Kuboyama, Kouichi Hirata, Kiyoko F. Aoki-Kinoshita, Hisashi Kashima and Hiroshi Yasuda
  A Gram Distribution Kernel Applied to Glycan Classification and Motif Extraction,
  In Proc. 17th International Conference on Genome Informatics (GIW2006), Yokohama, Japan, 2006.
  
  
• Hisashi Kashima and Naoki Abe
  A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction,
  in Proc. 6th IEEE International Conference on Data Mining (ICDM2006), Hong Kong, 2006.
  
  
• Tetsuji Kuboyama, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Koichi Hirata and Hiroshi Yasuda
  A Spectrum Tree Kernel,
  in Proc. The International Workshop on Data-Mining and Statistical Science (DMSS2006), Sapporo, Japan, 2006.
  
  
• Tetsuji Kuboyama, Kilho Shin and Hisashi Kashima
  Flexible Tree Kernels Based on Counting the Number of Tree Mappings,
  in Proc. Workshop on Mining and Learning (held with ECML/PKDD 2006), Berlin, Germany, 2006.
  
  
• Hisashi Kashima
  Risk-Sensitive Learning via Expected Shortfall Minimization,
  in Proc. 2006 SIAM International Conference on Data Mining (SDM 06), Bethesda, MD, USA, April 20-22, 2006.
  
  
• Tsuyoshi Ide
  Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis,
  in Proc. of the fifth IEEE International Conference in Data Mining (ICDM 05), Houston, Texas, USA, Nov 20-27, 2005, pp. 657-660 [pdf].
  
  
• Tsuyoshi Ide and Keisuke Inoue
  Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations,
  in Proc. 2005 SIAM International Conference on Data Mining (SDM 05), Newport Beach, CA, USA, April 21-23, 2005, pp. 571-576 [pdf].
  
  
• Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Ide, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh and Takeshi Fukuda
  Network-Based Problem Detection for Distributed Systems,
  in Proc. 21st International Conference on Data Engineering (ICDE2005), Tokyo, Japan, 2005, pp.978-979 [pdf].
  
  
• Tsuyoshi Ide and Hisashi Kashima
  Effective Dimension in Anomaly Detection: Its Application to Computer Systems,
  Lecture Notes in Computer Science, Vol. 3609, Springer, 2005, pp.189-204 [link].
  
  
• Tsuyoshi Ide and Hisashi Kashima
  Eigenspace-based Anomaly Detection in Computer Systems,
  in Proc. 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2004), Seattle, WA, USA, 2004, pp.440-449 [pdf]..
  
  
• Hisashi Kashima and Yuta Tsuboi
  Kernel-Based Discriminative Learning Algorithms for Labeling Sequences, Trees and Graphs,
  in Proc. 21st International Conference on Machine Learning (ICML2004), Banff, Alberta, Canada, 2004.
  
  
• Akihiro Inokuchi and Hisashi Kashima
  Mining Significant Pairs of Patterns from Graph Structures with Class Labels,
  in Proc. 3rd IEEE International Conference on Data Mining (ICDM2003), Melbourne, Florida, USA, 2003.
  
  
• Hisashi Kashima , Koji Tsuda and Akihiro Inokuchi
  Marginalized Kernels Between Labeled Graphs,
  in Proc. 20th International Conference on Machine Learning (ICML2003), Washington, DC USA, 2003.
  
  
• Hisashi Kashima and Akihiro Inokuchi
  Kernels for Graph Classification,
  in Proc. 1st ICDM Workshop on Active Mining (AM-2002), Maebashi, Japan, 2002.
  
  
• Hisashi Kashima and Teruo Koyanagi
  Kernels for Semi-Structured Data,
  in Proc. 19th International Conference on Machine Learning (ICML2002), Sydney, Australia, 2002.
  
  
• T. Ide, H. Humata, H. Mizuta, Y. Taira, M. Suzuki, M. Noguchi, and Y. Katsu
  Moire-Free Collimating Light Guide with Low-Discrepancy Dot Patterns,
  in Digest of Technical Papers, Society for Information Display 2002 (SID 2002), Boston, MA, USA, 2002, pp. 1232-1235.
  
  

• Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, and Kenji Doya
  Derivatives of logarithmic stationary distributions for policy gradient reinforcement learning,
  Neural Computation, Vol. 22, No. 2, pp. 342-376, 2010.
  
  
• Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama and Takafumi Kanamori
  Statistical Outlier Detection using Direct Density Ratio Estimation,
  Knowledge and Information Systems, pp.XXX-XXX, vol.XX, no.XX, 2010, to appear.
  
  
• Hirofumi Matsuzawa, Shohei Hido, Tsuyoshi Ide, and Hisashi Kashima
  Unsupervised Change Analysis using Supervised Learning,
  IEICE Transactions on on Information and Systems, Vol.E93-D, No.6 pp.xxxx, 2010.
  
  
• Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima, and Jun Sese
  Semi-supervised local Fisher discriminant analysis for dimensionality reduction,
  Machine Learning Journal, Vol.78, No.1-2, pp.35-61, 2010.
  
  
• Shohei Hido, Hisashi Kashima and Yutaka Takahashi
  Roughly Balanced Bagging for Imbalanced Data,
  Statistical Analysis and Data Mining, pp.412-426, vol.2, issue 5-6, 2009.
  
  
• Takafumi Kanamori, Shohei Hido and Masashi Sugiyama
  A least-squares approach to direct importance estimation,
  Journal of Machine Learning Research, pp.1391-1445, vol.10, 2009.
  
  
• Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi and Liwei Wang
  A density-ratio framework for statistical data processing,
  IPSJ Transactions on Computer Vision and Applications, pp.183-208, vol.1, 2009.
  
  
• Tetsuro Morimura, Eiji Uchibe, and Kenji Doya
  Natural actor-critic with baseline adjustment for variance reduction,
  Artificial Life and Robotics, Vol. 13, No. 1, pp. 275-279, 2008.
  
  
• Hisashi Kashima, Shoko Suzuki, Shohei Hido, Yuta Tsuboi, Toshihiro Takahashi, Tsuyoshi Ide, Rikiya Takahashi and Akira Tajima
  Task1 Winner's Solution & Task2 Runner-up's Solution in Estimating Location Using Wi-Fi,
  IEEE Intelligent Systems Magazine, Vol.23, No.1, pp.8-13, January/February, 2008.
  
  
• Hisashi Kashima
  Risk-sensitive Learning via Minimization of Empirical Conditional Value-at-risk,
  IEICE Transaction on Information and Systems, Vol. E90-D, No. 12, pp. 2043-2052, 2007.
  
  
• Shohei Hido and Hiroyuki Kawano
  A Fast Algorithm for Mining Frequent Ordered Subtrees,
  Systems and Computers in Japan, Vol.38, No.7, pp.34-43, 2007.
  
  
• Tetsuo Shibuya, Hisashi Kashima, and Akihiko Konagaya:
  Efficient Filtering Methods for Clustering cDNAs with Spliced Sequence Alignment,
  Bioinformatics, Vol.20, No.1 (2004) 29-39.
  
  
• T. Ide, H. Mizuta, H. Humata, Y. Taira, M. Suzuki, M. Noguchi, and Y. Katsu:
  Dot pattern generation technique using molecular dynamics,
  Journal of the Optical Society of America, A, 20 (2003) 242-255.
  
  
• T. Ide, H. Humata, Y. Taira, H. Mizuta, M. Suzuki, M. Noguchi, and Y. Katsu
  A novel dot-pattern generation to improve luminance uniformity of an LCD backlight,
  Journal of the Society for Information Display, Vol.11, No.4 (2003) 659-665.
  
  

• Tsuyoshi Ide
  Anomaly detection from latent graph structures,
  The first Latent Dynamics Workshop, 2010 (Tokyo, Japan).
  
  
• Tetsuro Morimura
  Risk-sensitive and robust reinforcement learning with estimating return distribution,
  Kyoto university global COE, Knowledge Grid Computing Core Seminar, 2009 (Kyoto, Japan) .
  
  
• Tsuyoshi Ide
  Applying Machine Learning Techniques to Sensor Data Analysis,
  Kick-off Symposium for Global COE `CompView' Project, Tokyo Institute of Technology, December, 2007 [in Japanese].
  
  
• Hisashi Kashima
  Machine Learning for Predicting Biological Networks,
  Japanese Society for Bioinformatics 2007 Summer School, August, 2007 [in Japanese].
  
  
• Hisashi Kashima
  Methods for Predicting Network Structures,
  The International Workshop on Data-Mining and Statistical Science (DMSS2006), Sapporo, Japan, Sep. 2006.
  
  
• Hisashi Kashima
  Methods for Analyzing Network Structures,
  The 63rd Workshop of Japanese Society of Artificial Intelligence, SIG-FPAI, Kyushu, Japan, Sep. 2006.
  
  
• Hisashi Kashima, Yuta Tsuboi, Taku Kudo
  Recent progress in discriminative models for natural language processing - from HMM to CRF -,
  The 12nd Annual Meeting of Japanese Association for Natural Language Processing (NLP2006), Tokyo, Japan, Mar. 2006. [in Japanese]
  
  
• Hisashi Kashima
  Kernel Methods for Mining Structured Data,
  PRMU workshop, Pattern Recognition and Media Understanding Society, The Institute of Electronics, Information and Communication Engineers, Feb. 26, 2005, Tokyo [in Japanese]
  
  
• Tsuyoshi Ide and Hisashi Kashima
  Feature Extraction and Anomaly Detection in Web-based Computer Systems,
  in Proc. the Seventh Workshop on Information-Based Induction Sciences (IBIS2004), Tokyo, Japan, November 8 -10, 2004, pp.7-14, ISBN4-9902248-0-9 [in Japanese, pdf].
  
  
• Hisashi Kashima
  Designing kernel functions for structured data,
  Lecture series on bioinformatics, AIST CBRC, 2003/1/8
  

• Hisashi Kashima, Tsuyoshi Ide, Tsuyoshi Kato, and Masashi Sugiyama
  Recent Advances and Trends in Large-scale Kernel Methods,
  IEICE Transactions on on Information and Systems, Vol.E92-D, No.7 pp.1338-1353, 2009.
  
  
• H. Hattori, T. Kawamura, T. Ide, M. Yokoo, Y. Murakami (Eds.)
  New Frontiers in Artificial Intelligence: JSAI 2008 Conference and Workshops (Asahikawa, Japan, June 11-13, 2008) Revised Selected Papers,
  Lecture Notes in Artificial Intelligence, Vol. 5447, Springer
  
  
• Hiroshi Motoda, Takio Kurita, Tomoyuki Higuchi, Yuji Matsumoto and Noboru Murata (Eds.), Shotaro Akaho, Toshihiro Kamishima, Masashi Sugiyama, Takashi Onoda, Kazushi Ikeda, Hisashi Kashima, Hideto Kazawa, Shinichi Nakajima, Junichi Takeuchi, Daichi Mochihashi, Satoshi Oyama, Tsuyoshi Ide, Kohichi Shinoda, and Hiroshi Yamakawa (Trans.)
  Pattern Recognition and Machine Learning [Japanese Translation],
  Springer Japan, 2008 [in Japanese, link].
  
  
• Hisashi Kashima
  Survey of Network Structure Prediction Methods,
  JSAI Magazine, Vol.22, No.3, 2007 [in Japanese]
  
• Hisashi Kashima
  Data Mining Approaches for Structured Data and Applications to Bioinformatics,
  Software Biology, Vol. 5, 2006 [in Japanese]
  
  
• Hisashi Kashima
  Kernel Methods for Mining Structured Data,
  IPSJ Magazine, Information Processing Society of Japan, Vol. 46, No.1, 2005 [in Japanese].
  
  
• H. Kashima , K. Tsuda and A. Inokuchi
  Kernels for Graphs, Kernel Methods in Computational Biology,
  MIT Press, 2004.
  
  
• Tsuyoshi Ide and Yoichi Taira
  Dot pattern generation techniques for optical systems,
  Monthly Display, Techno Times, Vol.9, No.1 (2003) [in Japanese].
  
  

Other activities are listed in each member's page.

• Tsuyoshi Ide (manager)
  
  
• Rikiya Takahashi
  
  
• Toshihiro Takahashi
  
  
• Shoko Suzuki
  
  
• Tetsuro Morimura