Hiroshi Tsukimoto

According to our database1, Hiroshi Tsukimoto authored at least 17 papers between 1992 and 2016.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

2016
An algorithm for 3-SAT problems.
CoRR, 2016

2004
Nonparametric regression analysis of functional brain images.
Syst. Comput. Jpn., 2004

2003
The functional localization of neural networks using genetic algorithms.
Neural Networks, 2003

2002
Rule Discovery from fMRI Brain Images by Logical Regression Analysis.
Proceedings of the Progress in Discovery Science, 2002

2001
Pattern reasoning: Logical reasoning of neural networks.
Syst. Comput. Jpn., 2001

2000
Extracting rules from trained neural networks.
IEEE Trans. Neural Networks Learn. Syst., 2000

Data Mining from Functional Brain Images.
Proceedings of the International Workshop on Multimedia Data Mining, 2000

Knowledge Discovery from fMRI Brain Images by Logical Regression Analysis.
Proceedings of the Discovery Science, 2000

1999
Pattern Reasoning: A New Solution for Knowledge Acquisition Problem.
Proceedings of the New Directions in Rough Sets, 1999

Rule Extraction from Prediction Models.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1998
Knowledge discovery from numerical data.
Knowl. Based Syst., 1998

The Discovery of Rules from Brain Images.
Proceedings of the Discovery Science, 1998

1997
An inductive learning algorithm based on regression analysis.
Syst. Comput. Jpn., 1997

Extracting Propositions from Trained Neural Networks.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1994
The Discovery of Logical Propositions in Numerical Data.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

1993
Efficient algorithms for inductive learning - an application of multi-linear functions to inductive learning.
Proceedings of the Machine Intelligence 14, 1993

1992
The Discovery of Propositions in Noisy Data.
Proceedings of the Machine Intelligence 13, 1992


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