Hisashi KASHIMA


Fast Iterative Mining Using Sparsity-Inducing Loss Functions
Hiroto SAIGO Hisashi KASHIMA Koji TSUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/08/01
Vol. E96-D  No. 8  pp. 1766-1773
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
discriminative pattern miningsparsitysupport vectorsclassificationregression
 Summary | Full Text:PDF(636.7KB)

Link Prediction Across Time via Cross-Temporal Locality Preserving Projections
Satoshi OYAMA Kohei HAYASHI Hisashi KASHIMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2012/11/01
Vol. E95-D  No. 11  pp. 2664-2673
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
link predictiontemporal dataentity resolutionsocial network analysisdimension reduction
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Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel
Hisashi KASHIMA Satoshi OYAMA Yoshihiro YAMANISHI Koji TSUDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/10/01
Vol. E93-D  No. 10  pp. 2672-2679
Type of Manuscript:  Special Section PAPER (Special Section on Data Mining and Statistical Science)
Category: 
Keyword: 
kernel methodspairwise kernelslink prediction
 Summary | Full Text:PDF(406.5KB)

Least Absolute Policy Iteration--A Robust Approach to Value Function Approximation
Masashi SUGIYAMA Hirotaka HACHIYA Hisashi KASHIMA Tetsuro MORIMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/09/01
Vol. E93-D  No. 9  pp. 2555-2565
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
reinforcement learningvalue function approximationleast-squares policy iterationoutlier1-loss functionlinear programming
 Summary | Full Text:PDF(2.1MB)

Recent Advances and Trends in Large-Scale Kernel Methods
Hisashi KASHIMA Tsuyoshi IDE Tsuyoshi KATO Masashi SUGIYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2009/07/01
Vol. E92-D  No. 7  pp. 1338-1353
Type of Manuscript:  Special Section PAPER (Special Section on Large Scale Algorithms for Learning and Optimization)
Category: INVITED
Keyword: 
kernel methodssupport vector machineskernel tricklow-rank approximationoptimizationstructured data
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Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk
Hisashi KASHIMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/12/01
Vol. E90-D  No. 12  pp. 2043-2052
Type of Manuscript:  PAPER
Category: Artificial Intelligence and Cognitive Science
Keyword: 
risk-sensitive learningcost-sensitive learningmeta learningconditional value-at-riskexpected shortfall
 Summary | Full Text:PDF(431.8KB)