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$B=jB03X2q(B
$B>pJs=hM}3X2q(B, $BEE;R>pJsDL?.3X2q(B, $B?M9)CNG=3X2q(B,
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- Pat Langley, Jeff Shrager, Kazumi Saito,
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Proc. of The 30th Anniversary of the Information Criterion
(AIC 2003) , pp.380--381, 2003.
- Masahiro Kimura, Kazumi Saito, and Naonori Ueda. "Modeling of Growing Networks with Directional Attachment and Communities,"
Proc. of European Symposium on Artificial Neural Networks (ESANN 2003), pp.15--20, 2003.
- Takeshi Yamada, Kazumi Saito, and Naonori Ueda. "Cross-Entropy Directed Embedding of Network Data,"
Proc. of International Conference on Machine Learning (ICML 2003), pp.832--839, 2003.
- Masahiro Kimura, Kazumi Saito, and Naonori Ueda. "Modeling Share Dynamics by Extracting Competition Structure,"
Proc. of the 30th Anniversary of the Information Criterion (AIC 2003) , pp.366--367, 2003.
- Pat Langley, Dileep George, Stephen Bay, and Kazumi Saito. "Robust Induction of Process Models from Time-Series Data,"
Proc. of International Conference on Machine Learning (ICML 2003), pp.432--439, 2003.
- Dileep George, Kazumi Satio, Pat Langley, Stephen Bay, and Kevin R. Arrigo. "Discovering Ecosystem Models from Time-Series Data,"
Proc. of the 6th Discovery Science (DS 2003), pp.141--152, 2003.
- Kazumi Saito, Dileep George, Stephen Bay, and Jeff Shrager. "Inducing Biological Models from Temporal Gene Expression Data,"
Proc. of the 6th Discovery Science (DS 2003), pp.468--469, 2003.
- Naonori Ueda and Kazumi Saito, "Parametric
Mixture Models for Multi-labeled text," Proc. of
MIT press( NIPS)( in press )
- Kazumi Saito and Pat Langley, "Qualitative
revision of scientific model," Proc. of Computational
Discovery of Communicable Knowledge( in press
)
- Kazumi Saito and Ryohei Nakano, "Structuring
Neural Networks through Bidirectional Clustering
of Weights," Proc. of the 5th Discovery Science( DS2002 ),
pp.206--219, 2002.
- Kazumi Saito, Stephen Bay, and Pat Langley, "Revising
Qualitative Models of Gene Regulation," Proc. of the 5th
Discovery Science( DS2002 ), pp.59--70, 2002.
- Masahiro Kimura, Kazumi Saito, and Naonori Ueda,
"Modeling of Growing Networks with Communities," Proc. of
IEEE( NNSP2002 ), pp.189--198, 2002.
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Detection of Multi-category of Text using
parametric Mixture Models," Proc. of ACM Special
Interest Group( SIGKDD2002 ), pp.626--631, 2002.
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Empirical Laws of Web Dynamics," Proc. of IPSJ,
IEEE-CS( SAINT-2002 ), pp.168--175, 2002.
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Polynomials to Fit Multivariate Data Having
Numeric and Nominal Variable," Proc. of Advances in
Intelligent Data Analysis(IDA2001),
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and Christpher Potter, "Computational
Revision of Quantitative scientific models," Proc. of the
3rd International Conference on
Discovery Science(DS2001), Vol.LNAI2226, pp.336--349, 2001.
- Kazumi Saito and Ryohei Nakano, "Discovery
of a set of nominally conditioned polynomials
using neural networks, vector quantizers,
and decision trees," Proc. of the 3rd
International Conference on Discovery Science
(DS2000), pp.325--329, 2000. (PS file) (PDF file)
- Kazumi Saito and Ryohei Nakano, "Discovery
of relevant weights by minimizing cross-validation
error," Proc. of the 4th Pacific-Asia
Conference on Knowledge Discovery and Data
Mining (PAKDD2000), pp.372--375, 2000.
- K.Saito, N.Ueda, S.Katagiri, Y.Fukai, H.Fujimaru,
and M.Fujinawa,
"Law discovery from financial data using
neural networks,"
Proc of IEEE/IAFE/INFORMS Conference on Computational
Intelligence for
Financial Engineering (CIFEr00), pp.209--212, 2000
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"A connectionist approach to numeric
law discovery,"
In K.Furukawa, D.Michie, and S.Muggleton,
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(MI15),
pp.315--327, Oxford Press, 1999.
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"Discovery of a set of nominally conditioned
polynomials,"
Proc. of the 2nd International Conference
on Discovery Science (DS99),
pp.287--298, 1999.
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"Computational characteristics of law
discovery
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Proc. of the 1st International Conference
on Discovery Science (DS98),
pp.342--351, 1998.
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"Numeric law discovery using neural
networks,"
Proc. of the 4th International Conference
on
Neural Information Processing (ICONIP97),
pp.843--846, 1997.
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"Law discovery using neural networks,"
Proc. of the 15th International Joint Conference
on Artificial Intelligence (IJCAI97),
pp.1078--1083, 1997.
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"MDL regularizer: a new regularizer
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Proc. of International Conference on Neural
Networks (ICNN97),
pp.1833--1838, 1997.
- Kazumi Saito and Ryohei Nakano,
"Law discovery using neural networks,"
Proc. of NIPS '96 Rule-Extraction Workshop,
pp.62--69, 1996.
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"Second-order learning algorithm with
squared penalty term,"
Proc. of Neural Information Processing Systems
Conference (NIPS96),
pp.627--633, 1996.
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"A constructive learning algorithm for
an HME,"
Proc. of International Conference on Neural
Networks (ICNN96),
pp.1268--1273, 1996.
- Ryohei Nakano, Naonori Ueda, Kazumi Saito
and M. Takahashi,
"Wall map building from fragmentary
sonar data,"
Proc. of RoboLearn '96 Workshop, pp.84--89,
1996.
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and Takeshi Yamada,
"Parrot-like speaking using optimal
vector quantization,"
Proc. of International Conference on Neural
Networks (ICNN95),
pp.2871--2875, 1995.
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Concept Learning Algorithm," IFIP 13th
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1994.
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learning algorithm with adaptive search,"
In K.Furukawa, D.Michie, and S.Muggleton,
eds., Machine Intelligence 14 Applied Machine
Intelligence (MI14),
pp.347--363, Oxford Press, 1993.
- Ryohei Nakano, Kazumi Saito, Masakatsu Ohta
and S.I. Gallant,
"DREAM: A heuristic approach to hypersphere
minimum covering,"
Proc. of International Conference
on Artificial Neural Networks (ICANN91),
pp.427--432, 1991.
- Kazumi Saito and Ryohei Nakano,
"Rule extraction from facts and neural
nets,"
Proc. of International Neural Networks Conference
(INNC90),
pp.379--382, 1990.
- Kazumi Saito and Ryohei Nakano,
"Medical diagnostic expert system based
on PDP model,"
Proc. of International Conference on Neural
Networks (ICNN88),
pp.255-262, 1988.
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In K.Furukawa, D.Michie, and S.Muggleton,
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Machine Intelligence 15 Intelligent Agents
(MI15),
pp.315--327, Oxford Press, 1999.
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learning algorithm with adaptive search,"
In K.Furukawa, D.Michie, and S.Muggleton,
eds., Machine Intelligence 14 Applied Machine
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Last modified on: Wed. Feb. 19 2003.
