Data processing: artificial intelligence – Neural network – Learning method
Reexamination Certificate
2005-05-31
2005-05-31
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Neural network
Learning method
Reexamination Certificate
active
06901392
ABSTRACT:
A user initially judges whether each of pieces of information input as learning information is necessary or unnecessary, matrix elements of an affirmative metric signal indicating the records of the necessary information and matrix elements of a negative metric signal indicating the records of the unnecessary information are calculated in a learning unit from a plurality of keywords attached to the necessary information and the unnecessary information. Thereafter, a plurality of keywords attached to each piece of information data input to be estimated are converted into a vector in a vector generating unit, and an affirmative score signal and a negative score signal are calculated from the vector and the affirmative and negative metric signals in a score calculating unit. A value of the affirmative score signal is increased when many of keywords attached to a corresponding piece of information data are attached to the necessary information, and a value of the negative score signal is increased when many of keywords attached to a corresponding piece of information data are attached to the unnecessary information. Thereafter, necessity of each piece of information data is calculated from the affirmative and negative score signals, and the pieces of information data are stored in an unread data storing unit in order of necessity. Accordingly, information having a high necessity for the user can be easily retrieved from a large volume of information.
REFERENCES:
patent: 4935867 (1990-06-01), Wang et al.
patent: 5048100 (1991-09-01), Kuperstein
patent: 5235673 (1993-08-01), Austvold et al.
patent: 5276772 (1994-01-01), Wang et al.
patent: 5280573 (1994-01-01), Kuga et al.
patent: 5297042 (1994-03-01), Morita
patent: 5440705 (1995-08-01), Wang et al.
patent: 5444824 (1995-08-01), Austvold et al.
patent: 5446891 (1995-08-01), Kaplan et al.
patent: 5535382 (1996-07-01), Ogawa
patent: 5619709 (1997-04-01), Caid et al.
patent: 5692176 (1997-11-01), Holt et al.
patent: 5724567 (1998-03-01), Rose et al.
patent: 5819259 (1998-10-01), Duke-Moran et al.
patent: 5855015 (1998-12-01), Shoham
patent: 5907841 (1999-05-01), Sumita et al.
patent: 6647378 (2003-11-01), Kindo
patent: 06 243173 (1994-09-01), None
patent: 062431738 (1994-09-01), None
Discriminative metric design for pattern recognition Watanabe, H.; Yamaguchi, T.; Katagiri, S; Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on , vol.: 5 , May 9-12, 1995, pp.: 3439-3442 vol. 5.*
Hideyuki Watanabe, Member, IEEE, Tsuyoshi Yamaguchi, and Shigeru Katagiri, Member, IEEE, “Discriminative Metric Design for Robust Pattern Recognition” IEEE Transaction on Signal Processing, vol. 45, No. 11, Nov. 1997.*
Beerud Sheth and Pattie Maes, Elvolving Agents For Personalized Information Filtering, Proceedings of the 9thConference on Artificial Intelligencefor Application, (1993), IEEE, pps. 345-352.*
T. Nomura et al., “A method for retrieval of a target still image by selecting similar and dissimilar images”, In Proceedings of the 45th National Conference, Information Proceessing Society of Japan, No. 4, P. 4-204 to 4-.
B. Sheth et al., “Evolving Agents For Personalized Information Filtering”, In Proceedings of the 9th Conference on Artificial Intelligence for Applications, IEEE Computer Society Press, p. 345-352, 1993.
M. Ojala, “Filtered Information and Intelligent Agent Software”, Business Information Alert, vol. 8, No. 6.
H. Chen, “A machine learning approach to document retrieval: an overview and an experiment”, Proceedings of the 27thAnnual Hawaii International Conference on System Sciences, vol. 3, pp. 631-640.
“Information Extraction From Electronic Mail” A. Kawai et al.; Information Processing Society Technical Report, Natural Language Processing 101-8 (May 27, 1994); pp., 57-64 (w/partial English translation).
“Filtered Information and Intelligent Agent Software” by M. Ojala. Business Information Alert, vol. 8, No. 6, c. 1995.
“A Machine Learning Approach to Document Retrieval; An Overview and an Experiment” by H. Chen. Proceedings of the 27thAnnual Hawaii Int'l. Conference on System Sciences, vol. 3, pp. 631-640; c. 1994.
“Information Extraction from Electronic Mail” by A. Kawal et al, Information Processing Society Technical Report, pp. 57-64 (with English translation of relevant portions), c. 1994.
“A Method for Retrieval of a Target Still Image By Selecting Similar and Dissimilar Images” by T. Nomura, et al. Information Processing Society of Japan, No. 4, pp. 205-206, c. 1992.
Huang et al; A Fast Algorithm for Large Vocabulary Keyword Spotting Application; IEEE Transactions on Speech and Audio Processing; vol. 2, Iss. 3; Jul. 1994; pp. 449-452.
Clark & Brody
Holmes Michael B.
Knight Anthony
Matsushita Electric - Industrial Co., Ltd.
LandOfFree
Information filtering method and apparatus for... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Information filtering method and apparatus for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information filtering method and apparatus for... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3455524