Knowledge finding method

Details Knowledge finding method Knowledge finding method

2005-12-06

2005-12-06

Knight, Anthony (Department: 2121)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

C706S045000, C707S793000

Reexamination Certificate

active

06973446

ABSTRACT:
A general-purpose knowledge finding method for efficient knowledge finding by selectively sampling only data in large information amounts from a database. Learning means104causes a lower-order learning algorithm, inputted via an input unit107, to perform learning on plural partial samples generated by sampling from data stored in a high-speed main memory120, to obtain plural hypotheses. Data selection means105uses the hypotheses to estimate information amounts of respective candidate data read from a large-capacity data storage device130, and additionally stores only data in large information amounts into the high-speed main memory120. A control unit106repeats the processing a predetermined number of times, and stores obtained final hypotheses. A prediction unit102predicts a label value of unknown-labeled data inputted into the input unit107by the final hypotheses, and an output unit101outputs the predicted value.

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Naoki Abe, et al., “Query Learning Strategies Using Boosting and Bagging”, Proceedigs of the 15thConference on Machine Learning, Jul. 1998, p. 1-9.
Robert E. Schapire, et al., “Improved Boosting Algorithms Using Confidence-rated Predictions”, Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998, ACM Press, p. 80-91.

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