Nobuhisa Ueda

According to our database1, Nobuhisa Ueda
  • authored at least 15 papers between 1999 and 2008.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2008
A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology.
TKDD, 2008

2006
A new efficient probabilistic model for mining labeled ordered trees.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

ProfilePSTMM: capturing tree-structure motifs in carbohydrate sugar chains.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains.
IEEE Trans. Knowl. Data Eng., 2005

Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines.
Journal of Chemical Information and Modeling, 2005

2004
Managing and Analyzing Carbohydrate Data.
SIGMOD Record, 2004

KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains.
Nucleic Acids Research, 2004

Clustering under the line graph transformation: application to reaction network.
BMC Bioinformatics, 2004

Protein homology detection using string alignment kernels.
Bioinformatics, 2004

A General Probabilistic Framework for Mining Labeled Ordered Trees.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Application of a new probabilistic model for recognizing complex patterns in glycans.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Extensions of marginalized graph kernels.
Proceedings of the Machine Learning, 2004

2003
Inferring strengths of protein-protein interactions from experimental data using linear programming.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

2001
Simplified Training Algorithms for Hierarchical Hidden Markov Models.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

1999
A Graphical Method for Parameter Learning of Symbolic-Statistical Models.
Proceedings of the Discovery Science, 1999


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