Search results for "Hisashi Kashima"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka	Parametric Return Density Estimation for Reinforcement Learning	CoRR	2012	DBLP BibTeX RDF
1	Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori	Statistical outlier detection using direct density ratio estimation.	Knowl. Inf. Syst.	2011	DBLP DOI BibTeX RDF
1	Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima	Tensor Factorization Using Auxiliary Information.	ECML/PKDD	2011	DBLP DOI BibTeX RDF
1	Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li	A New Multi-task Learning Method for Personalized Activity Recognition.	ICDM	2011	DBLP DOI BibTeX RDF
1	Satoshi Oyama, Kohei Hayashi, Hisashi Kashima	Cross-Temporal Link Prediction.	ICDM	2011	DBLP DOI BibTeX RDF
1	Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda	Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.	PAKDD	2011	DBLP DOI BibTeX RDF
1	Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima	A Subpath Kernel for Rooted Unordered Trees.	PAKDD	2011	DBLP DOI BibTeX RDF
1	Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki	Fast Newton-CG Method for Batch Learning of Conditional Random Fields.	AAAI	2011	DBLP BibTeX RDF
1	Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima	Statistical Performance of Convex Tensor Decomposition.	NIPS	2011	DBLP BibTeX RDF
1	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai	Conic Programming for Multitask Learning.	IEEE Trans. Knowl. Data Eng.	2010	DBLP DOI BibTeX RDF	Multitask learning, collaborative filtering, link prediction, ordinal regression, second-order cone programming
1	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	2010	DBLP DOI BibTeX RDF
1	Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda	Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.	BMC Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda	Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel.	IEICE Transactions	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura	Least Absolute Policy Iteration--A Robust Approach to Value Function Approximation.	IEICE Transactions	2010	DBLP BibTeX RDF
1	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	2010	DBLP DOI BibTeX RDF
1	Rudy Raymond, Hisashi Kashima	Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs.	ECML/PKDD	2010	DBLP DOI BibTeX RDF
1	Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda	Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method.	ICDM	2010	DBLP DOI BibTeX RDF
1	Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese	Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph.	PAKDD	2010	DBLP DOI BibTeX RDF
1	Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima	A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.	ICML	2010	DBLP BibTeX RDF
1	Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka	Nonparametric Return Distribution Approximation for Reinforcement Learning.	ICML	2010	DBLP BibTeX RDF
1	Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka	Parametric Return Density Estimation for Reinforcement Learning.	UAI	2010	DBLP BibTeX RDF
1	Shohei Hido, Hisashi Kashima, Yutaka Takahashi	Roughly balanced bagging for imbalanced data.	Statistical Analysis and Data Mining	2009	DBLP DOI BibTeX RDF
1	Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama	Recent Advances and Trends in Large-Scale Kernel Methods.	IEICE Transactions	2009	DBLP BibTeX RDF
1	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	2009	DBLP DOI BibTeX RDF
1	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama	Robust Label Propagation on Multiple Networks.	IEEE Transactions on Neural Networks	2009	DBLP DOI BibTeX RDF
1	Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama	Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.	JIP	2009	DBLP DOI BibTeX RDF
1	Shohei Hido, Hisashi Kashima	A Linear-Time Graph Kernel.	ICDM	2009	DBLP DOI BibTeX RDF
1	Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda	On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.	PAKDD	2009	DBLP DOI BibTeX RDF	Pairwise Kernels, Kernel Methods, Link Prediction
1	Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda	Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.	SDM	2009	DBLP BibTeX RDF
1	Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura	Least absolute policy iteration for robust value function approximation.	ICRA	2009	DBLP DOI BibTeX RDF
1	Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese	Side Effect Prediction Using Cooperative Pathways.	BIBM	2009	DBLP DOI BibTeX RDF
1	Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori	Inlier-Based Outlier Detection via Direct Density Ratio Estimation.	ICDM	2008	DBLP DOI BibTeX RDF
1	Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa	Unsupervised Change Analysis Using Supervised Learning.	PAKDD	2008	DBLP DOI BibTeX RDF	two-sample test, concept drift, change analysis
1	Shohei Hido, Hisashi Kashima	Roughly Balanced Bagging for Imbalanced Data.	SDM	2008	DBLP BibTeX RDF
1	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama	Integration of Multiple Networks for Robust Label Propagation.	SDM	2008	DBLP BibTeX RDF
1	Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama	Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.	SDM	2008	DBLP BibTeX RDF
1	Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo	Regression with interval output values.	ICPR	2008	DBLP DOI BibTeX RDF
1	Yuta Tsuboi, Hisashi Kashima	A new objective function for sequence labeling.	ICPR	2008	DBLP DOI BibTeX RDF
1	Hisashi Kashima, Jianying Hu, Bonnie K. Ray, Moninder Singh	K-means clustering of proportional data using L1 distance.	ICPR	2008	DBLP DOI BibTeX RDF
1	Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto	Training Conditional Random Fields Using Incomplete Annotations.	COLING	2008	DBLP BibTeX RDF
1	Hisashi Kashima	Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk.	IEICE Transactions	2007	DBLP DOI BibTeX RDF
1	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai	Multi-Task Learning via Conic Programming.	NIPS	2007	DBLP BibTeX RDF
1	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	DBLP BibTeX RDF
1	Hisashi Kashima, Naoki Abe	A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction.	ICDM	2006	DBLP DOI BibTeX RDF
1	Hisashi Kashima	Risk-Sensitive Learning via Expected Shortfall Minimization.	SDM	2006	DBLP BibTeX RDF
1	Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda	Network-Based Problem Detection for Distributed Systems.	ICDE	2005	DBLP DOI BibTeX RDF
1	Tetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya	Efficient filtering methods for clustering cDNAs with spliced sequence alignment.	Bioinformatics	2004	DBLP DOI BibTeX RDF
1	Tsuyoshi Idé, Hisashi Kashima	Effective Dimension in Anomaly Detection: Its Application to Computer Systems.	JSAI Workshops	2004	DBLP DOI BibTeX RDF
1	Hisashi Kashima, Yuta Tsuboi	Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs.	ICML	2004	DBLP DOI BibTeX RDF
1	Tsuyoshi Idé, Hisashi Kashima	Eigenspace-based anomaly detection in computer systems.	KDD	2004	DBLP DOI BibTeX RDF	Perron-Frobenius theorem, principal eigenvector, time sequence of graphs, von Mises-Fisher distribution, singular value decomposition
1	Akihiro Inokuchi, Hisashi Kashima	Mining Significant Pairs of Patterns from Graph Structures with Class Labels.	ICDM	2003	DBLP DOI BibTeX RDF
1	Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi	Marginalized Kernels Between Labeled Graphs.	ICML	2003	DBLP BibTeX RDF
1	Hisashi Kashima, Teruo Koyanagi	Kernels for Semi-Structured Data.	ICML	2002	DBLP BibTeX RDF

Publications of "Hisashi Kashima" ( http://dblp.L3S.de/Authors/Hisashi_Kashima )