Machine-based learning system

Details Machine-based learning system Machine-based learning system

1991-03-29

1993-05-18

MacDonald, Allen R.

Image analysis

Histogram processing

For setting a threshold

395 2, 382 15, G06F 1518

Patent

active

052128210

ABSTRACT:
A machine-based learning system receives inputs and proposes outputs using a network of connection weights to relate the inputs to the outputs. When a user affirms a proposed output, the system adjusts the connection weights to strengthen the relationship between elements of the inputs and that output. Learning occurs in the course of successive iterations as the connection weights adapt to relationships between semantically-significant input elements and related outputs. The system can be used to acquire language from inputs provided in the form of text or speech such that the connection weights adapt to semantically-significant words without need for defining word meanings. Such language acquisition contrasts with previous systems in which words are predefined.

REFERENCES:
patent: 4618984 (1986-10-01), Das et al.
patent: 5027406 (1991-06-01), Roberts et al.
"Stationary and Nonstationary Learning Characteristics of the LMS Adaptive Filter", by B. Widrow, J. M. McCool, M. G. Larimore and C. R. Johnson, Jr., Proceedings of the IEEE, vol. 64, No. 8, Aug. 1976, pp. 1151-1162.
"On Adaptive Acquisition of Language", by A. L. Gorin, S. E. Levinson, L. G. Miller, A. N. Gertner, A. Ljolje and E. R. Goldman, published in Proceedings of ICASSP'90, Apr. 1990.
"Adaptive Acquisition of Language", by A. L. Gorin, S. E. Levinson, A. N. Gertner and E. Goldman, published in Proceedings of the Sixth Yale Workshop on Adaptive and Learning Systems, Aug. 1990.

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