Robust personalization through biased regularization

Details Robust personalization through biased regularization Robust personalization through biased regularization

2011-02-08

2011-02-08

Opsasnick, Michael N (Department: 2626)

Data processing: software development, installation, and managem

Software program development tool

Modeling

Reexamination Certificate

active

07886266

ABSTRACT:
The subject disclosure pertains to systems and methods for personalization of a recognizer. In general, recognizers can be used to classify input data. During personalization, a recognizer is provided with samples specific to a user, entity or format to improve performance for the specific user, entity or format. Biased regularization can be utilized during personalization to maintain recognizer performance for non-user specific input. In one aspect, regularization can be biased to the original parameters of the recognizer, such that the recognizer is not modified excessively during personalization.

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