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Nobuhisa Ueda

Papers on DiSC'04


Managing and Analyzing Carbohydrate Data

Publications


Note: Links lead to the DBLP on the Web.

Nobuhisa Ueda

Pierre Mahé , Nobuhisa Ueda, Tatsuya Akutsu , Jean-Luc Perret , Jean-Philippe Vert : Extensions of marginalized graph kernels. ICML 2004

Kiyoko F. Aoki , Nobuhisa Ueda, Atsuko Yamaguchi , Minoru Kanehisa , Tatsuya Akutsu , Hiroshi Mamitsuka : Application of a new probabilistic model for recognizing complex patterns in glycans. ISMB/ECCB (Supplement of Bioinformatics) 2004 : 6-14

Nobuhisa Ueda, Kiyoko Aoki , Hiroshi Mamitsuka : A General Probabilistic Framework for Mining Labeled Ordered Trees. SDM 2004

Hiroto Saigo , Jean-Philippe Vert , Nobuhisa Ueda, Tatsuya Akutsu : Protein homology detection using string alignment kernels. Bioinformatics 20 (11): 1682-1689 (2004)

Kiyoko F. Aoki , Atsuko Yamaguchi , Nobuhisa Ueda, Tatsuya Akutsu , Hiroshi Mamitsuka , Susumu Goto , Minoru Kanehisa : KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains. Nucleic Acids Research 32 (Web-Server-Issue): 267-272 (2004)

Kiyoko F. Aoki , Nobuhisa Ueda, Atsuko Yamaguchi , Tatsuya Akutsu , Minoru Kanehisa , Hiroshi Mamitsuka : Managing and Analyzing Carbohydrate Data. SIGMOD Record 33 (2): 33-38 (2004)

Morihiro Hayashida , Nobuhisa Ueda, Tatsuya Akutsu : Inferring strengths of protein-protein interactions from experimental data using linear programming. ECCB 2003 : 58-65

Nobuhisa Ueda, Taisuke Sato : Simplified Training Algorithms for Hierarchical Hidden Markov Models. Discovery Science 2001 : 401-415

Yoshitaka Kameya , Nobuhisa Ueda, Taisuke Sato : A Graphical Method for Parameter Learning of Symbolic-Statistical Models. Discovery Science 1999 : 264-276

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