Probabilistic model generation method, apparatus, and program

Data processing: artificial intelligence – Knowledge processing system

Reexamination Certificate

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C705S012000

Reexamination Certificate

active

07899767

ABSTRACT:
There is provided with a method, including: optimizing a first objective function defined by using an explanatory variable belonging an attribute in each sample, a target variable in each sample, and a first conversion parameter to find a value of the first conversion parameter; generating by using the first conversion parameter corresponding to the attribute a conversion function for converting an explanatory variable belonging to the attribute to an intermediate variable with certain range; optimizing a second objective function defined by using a plurality of the intermediate variables corresponding to the plurality of variables in each sample, the target variable in each sample, and a second conversion parameter to find a value of the second conversion parameter; and generating by using the second conversion parameter a probabilistic model for calculating from a plurality of intermediate variables a probability that a predetermined event occurs or does not occur.

REFERENCES:
patent: 5742775 (1998-04-01), King
patent: 5905814 (1999-05-01), Mochizuki et al.
patent: 5966699 (1999-10-01), Zandi
patent: 6023686 (2000-02-01), Brown
patent: 6098051 (2000-08-01), Lupien et al.
patent: 6961719 (2005-11-01), Rai
patent: 7509282 (2009-03-01), Shirkawa et al.
patent: 7685062 (2010-03-01), Gasparri
patent: 2001/0020233 (2001-09-01), Shirakawa et al.
patent: 2002/0116312 (2002-08-01), Talbot et al.
patent: 2002/0120557 (2002-08-01), Chien
patent: 2003/0101132 (2003-05-01), Gaubatz et al.
patent: 2003/0149657 (2003-08-01), Reynolds et al.
patent: 2004/0205019 (2004-10-01), Painter et al.
patent: 2005/0065754 (2005-03-01), Schaf et al.
patent: 2006/0116945 (2006-06-01), Nishikawa
patent: 10-222581 (1998-08-01), None
patent: 2000-259719 (2000-09-01), None
patent: 2001-338124 (2001-12-01), None
patent: 2004-005626 (2004-01-01), None
patent: 2004-185421 (2004-07-01), None
patent: 98/10361 (1998-03-01), None
MAP model matching Well, W.M., III Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on Jun. 3-6, 1991 pp. 486-492 Digital Object Identifier 10.1109/CVPR.1991.139740.
A neural net for reconstruction of multiple curves with a visual grammar Mjolsness, E.; Rangarajan, A.; Garrett, C. Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on vol. i, Jul. 8-14, 1991 pp. 615-620 vol. 1 Digital Object Identifier 10.1109/IJCNN.1991.155249.
Strong-sense class-dependent features for statistical recognition Omar, M.K.; Hasegawa-Johnson, M.; Statistical Signal Processing, 2003 IEEE Workshop on Sep. 28-Oct. 1, 2003 pp. 490-493 Digital Object Identifier 10.1109/SSP.2003.1289454.
Optimal response functions in a network of discretely firing neurons Luttrell, S.P.; Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440) Jul. 7-9, 1997 pp. 216-220.
Edward I. Altman et. al, “Zeta Analysis: A new model to identify bankruptcy risk of corporations”, Journal of Banking and Finance, 1, 1977, 29-54.
U.S. Appl. No. 11/235,160, filed Sep. 27, 2005.
U.S. Appl. No. 09/773,913, filed Feb. 2, 2001.
Hiroaki Yamauchi; The Autumn Conference 2004 of the Operations Research Society of Japan; Tokyo Institute of Technology; Sep. 8, 2004.
Office Action in Japanese Patent Application No. 2005-234813, dated Jul. 3, 2009, and English-language translation.

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