Machine learning

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C706S021000, C706S015000

Reexamination Certificate

active

07406452

ABSTRACT:
A first set of classifiers are trained to predict categories using attributes of cases. A second set of a classifiers are also trained to predict the categories using the attributes of the cases. In addition, the second set of classifiers use the predictions from at least one of the classifiers in the first set to make predictions.

REFERENCES:
patent: 2004/0024653 (2004-02-01), Edgardo et al.
‘Elements of Artificial Neural Networks’: Mehrotra, 1997, MIT Press, pp. 10, 11, 20, 25, 137.
‘Elements of artificial neural networks’: Mehrotra, MIT press, 1997, p. 11, 19-21, 25, 137.
Caruana, R., “Multitask Learning”, School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA, Sep. 1997.
Stefanowski, J., “Changing Representation of Learning Examples While Inducing Classifiers Based on Decision Rules”, Poznan Univ. of Technology, Poland, Nov. 2003.
Thrun, S., “Learning One More Thing”, School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA, Aug. 1995.

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