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Travelled to:
1 × Canada
1 × China
1 × Israel
1 × Japan
1 × United Kingdom
2 × Australia
4 × USA
Collaborated with:
Y.Tsuboi A.Inokuchi Y.Baba M.Sugiyama D.Kimura S.Hido T.Idé T.Koyanagi K.Tsuda I.Sato H.Nakagawa R.Tomioka T.Suzuki J.Hu B.K.Ray M.Singh K.Yamasaki H.Saigo N.Nori K.Yamashita H.Ikai Y.Imanaka T.Morimura H.Hachiya T.Tanaka Y.Nohara E.Kai P.P.Ghosh R.I.Maruf A.Ahmed M.Kuroda S.Inoue T.Hiramatsu M.Kimura S.Shimizu K.Kobayashi M.Blondel N.Ueda M.Kitsuregawa N.Nakashima
Talks about:
kernel (4) learn (4) label (3) graph (3) base (3) algorithm (2) structur (2) sequenc (2) predict (2) comput (2)

Person: Hisashi Kashima

DBLP DBLP: Kashima:Hisashi

Contributed to:

KDD 20152015
ICML c2 20142014
KDD 20132013
ICML 20122012
ICPR 20122012
ICML 20102010
ICPR 20082008
ICML 20042004
KDD 20042004
ICML 20032003
ICML 20022002

Wrote 15 papers:

KDD-2015-BabaKNKGIAKIHKS #low cost #predict
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries (YB, HK, YN, EK, PPG, RIM, AA, MK, SI, TH, MK, SS, KK, KT, MS, MB, NU, MK, NN), pp. 1681–1690.
KDD-2015-NoriKYII #modelling #multi #predict
Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care (NN, HK, KY, HI, YI), pp. 855–864.
ICML-c2-2014-SatoKN #analysis #normalisation
Latent Confusion Analysis by Normalized Gamma Construction (IS, HK, HN), pp. 1116–1124.
KDD-2013-BabaK #crowdsourcing #estimation #quality #statistics
Statistical quality estimation for general crowdsourcing tasks (YB, HK), pp. 554–562.
ICML-2012-KimuraK #kernel #performance
Fast Computation of Subpath Kernel for Trees (DK, HK), p. 81.
ICPR-2012-HidoK #graph #learning #similarity
Hash-based structural similarity for semi-supervised Learning on attribute graphs (SH, HK), pp. 3009–3012.
ICML-2010-MorimuraSKHT #approximate #learning #parametricity
Nonparametric Return Distribution Approximation for Reinforcement Learning (TM, MS, HK, HH, TT), pp. 799–806.
ICML-2010-TomiokaSSK #algorithm #learning #matrix #performance #rank
A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices (RT, TS, MS, HK), pp. 1087–1094.
ICPR-2008-KashimaHRS #clustering #distance #using
K-means clustering of proportional data using L1 distance (HK, JH, BKR, MS), pp. 1–4.
ICPR-2008-KashimaYIS
Regression with interval output values (HK, KY, AI, HS), pp. 1–4.
ICPR-2008-TsuboiK #sequence
A new objective function for sequence labeling (YT, HK), pp. 1–4.
ICML-2004-KashimaT #algorithm #graph #kernel #learning #sequence
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs (HK, YT).
KDD-2004-IdeK #detection
Eigenspace-based anomaly detection in computer systems (TI, HK), pp. 440–449.
ICML-2003-KashimaTI #graph #kernel
Marginalized Kernels Between Labeled Graphs (HK, KT, AI), pp. 321–328.
ICML-2002-KashimaK #kernel
Kernels for Semi-Structured Data (HK, TK), pp. 291–298.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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